EP0365901A2 - Système de contrôle d'une pluralité de postes de travail des machines textiles - Google Patents

Système de contrôle d'une pluralité de postes de travail des machines textiles Download PDF

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Publication number
EP0365901A2
EP0365901A2 EP89118688A EP89118688A EP0365901A2 EP 0365901 A2 EP0365901 A2 EP 0365901A2 EP 89118688 A EP89118688 A EP 89118688A EP 89118688 A EP89118688 A EP 89118688A EP 0365901 A2 EP0365901 A2 EP 0365901A2
Authority
EP
European Patent Office
Prior art keywords
values
channel
individual
workplaces
monitoring
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP89118688A
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German (de)
English (en)
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EP0365901A3 (en
EP0365901B1 (fr
Inventor
Peter F. Aemmer
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zellweger Luwa AG
Original Assignee
Zellweger Uster AG
Zellweger Luwa AG
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Publication date
Application filed by Zellweger Uster AG, Zellweger Luwa AG filed Critical Zellweger Uster AG
Publication of EP0365901A2 publication Critical patent/EP0365901A2/fr
Publication of EP0365901A3 publication Critical patent/EP0365901A3/de
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Publication of EP0365901B1 publication Critical patent/EP0365901B1/fr
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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65HHANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
    • B65H63/00Warning or safety devices, e.g. automatic fault detectors, stop-motions ; Quality control of the package
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65HHANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
    • B65H2701/00Handled material; Storage means
    • B65H2701/30Handled filamentary material
    • B65H2701/31Textiles threads or artificial strands of filaments

Definitions

  • the invention relates to a system for monitoring a large number of workplaces of textile machines, with measuring organs assigned to the workplaces and with means for evaluating the signals supplied by the measuring organs, characteristic parameters for the individual workplaces being obtained during the analysis and analyzed for significant deviations from corresponding target values will.
  • Systems of this type are used, for example, in bobbins for monitoring automatic winding machines which have a large number of individual spindles and are equipped with so-called yarn cleaning systems.
  • the parameters obtained during the evaluation of the signals from the measuring elements are analyzed more or less in isolation for each individual winding unit, so that occurring disturbance situations can be recognized and thus eliminated, but no automatic cross-comparisons between the individual disturbance situations are possible. This means that it is relatively difficult to weight the individual disturbance situations and to relate them to one another bring. Without such networking, the monitoring system only consists of a large number of isolated monitors for individual winding units.
  • the invention is now intended to create the possibility that certain conclusions can be made by the system itself by applying certain rules. This is to ensure that, on the one hand, the same conclusions are always drawn from the same data and, on the other hand, that complex disturbance situations are identified clearly and reliably. In other words, the mode of operation of the monitoring system should be automated and objectified.
  • the setpoints are constantly updated by processing the data of all workstations in the form of mean values of the individual events and the collective and form the core data for an automatic conclusion process, these setpoints through safety distances known from experience and which can be entered into the system which warning, alarm or stop limits are set for the events observed at the individual workplaces.
  • the monitoring system thus analyzes the signals supplied by the measuring organs for the purpose of recognizing significant deviations from corresponding target values, the input data coming from the user on the one hand and experience data formed by the system itself serving as the criterion for any alarm conditions.
  • a further preferred development of the system according to the invention is characterized in that the conversion of the generalized starting variables into absolute values takes place on the basis of an adaptive learning mechanism.
  • FIG. 1 shows the structure of a monitoring system according to the invention for a large number of workplaces of textile machines, for example winding machines.
  • Each winding machine has a number x of winding positions, each of which is equipped with a measuring head MK for measuring the cross section of a running yarn G.
  • Each measuring head MK is part of an electronic yarn cleaner and is used to detect certain yarn defects, in particular short thick spots (so-called S-channel), long thick spots (so-called L-channel) and thin spots (so-called T-channel).
  • S-channel short thick spots
  • L-channel long thick spots
  • T-channel thin spots
  • the signals from all measuring heads MKll to MKlx, MKnl to MKnx of a winding machine are each fed to a machine station MS1 or MSn, as are known, for example, from data systems of the USTER CONEDATA 200 brand (hereinafter referred to as CODA 200).
  • the machine stations MS provide the user with information about the running behavior of the winding machines and the yarn quality, for each individual machine position. Since the machine stations are also equipped with their own keyboard and LCD display, data from the connected winder can be entered, selected and displayed directly.
  • the data of all machine stations MS arrive via a so-called TEXBUS to a TEXBUS adapter TA and from there to a personal computer PC, the hardware structure of which essentially corresponds to that of the memory program computer described in EP-A-001 640 (FIGS. 2 and 3) corresponds, and which one in particular has a system memory, the division of which is shown schematically in FIG. 2.
  • FIG. 2 shows the following software configuration from top to bottom within the personal computer PC: memory space for the operating system BS, memory space for the data system CODA 200, memory space for the so-called ACS manager, then a common memory space for three programs ACS Core, ACS-Main and ACS-Init, and finally again storage space for the operating system BS.
  • memory space for the operating system BS memory space for the data system CODA 200
  • ACS manager memory space for the so-called ACS manager
  • a common memory space for three programs ACS Core, ACS-Main and ACS-Init and finally again storage space for the operating system BS.
  • the monitoring system essentially consists of the hardware components shown in FIG. 1 and of the programs shown in FIG. 2, the interaction of which opens up new possibilities for detecting malfunctions in winding machines or in general in textile companies.
  • the system continuously updates the mean values of the individual events and the collective and continuously compares them with each other.
  • the system thus has a knowledge base and an automatic conclusion process.
  • a dynamic knowledge base is set up, the content of which can be formed, for example, by improved mean values of the collective after a long period of operation and / or by conclusions from rules.
  • ACS Alarm Conditions Scanner
  • the ACS manager forms the basis for all programs in connection with the ACS and all programs that work with the ACS communicate only via it.
  • the ACS manager takes care of the following eight main tasks: ACS daemon, management of internal constants, winding configuration including shift and batch change and management of various tables (Fig. 3).
  • the ACS daemon is a subfunction of the ACS manager. It is activated periodically by CODA 200 and determines whether delta t has passed since the last call to the ACS core. If so, the ACS core is called again.
  • the main ACS routine is shown in the flowchart of FIG. 4.
  • the "Shift change" subroutine specified in this flow chart causes all xalt and yalt in the current tables to be reset to zero.
  • the “cycle” subroutine which is also shown in FIG. 4, is shown in the flow chart of FIG. 5. This cycle is carried out once for all winding units and channels. Alg (k) in FIG.
  • the ACS core only contains the algorithms and alarm processing. He has no statistical data and obtains all data material from the manager. ACS-Init loads the tables saved in files into the ACS Manager and is used to start the system.
  • ACS-Main is the program that the user can call from CODA 200 to change parameters, view pent-up alarms or obtain information online.
  • the ACS manager is loaded. To ensure that the latter receives the required parameters without the user having to type them in, the manager is supplied with the start parameters using ACS init. ACS-Init in turn gets these parameters from a file. Then CODA 200 is started, which is the main program in the following. In other words, this means that other programs are only started at the instigation of CODA 200 and that CODA 200 regains control once these programs have expired.
  • CODA 200 now supplies the ACS manager sporadically with the new winding data and periodically calls the ACS daemon (function of the ACS manager), which tests whether the time for an update and alarm cycle has arrived (update and alarm cycle are both parts of ACS core). If so, the ACS manager starts the ACS core and the necessary actions are carried out.
  • the ACS init, manager and core programs run invisibly to the user, apart from any alarm messages from the ACS core. However, the user can call up CODA 200 from ACS-Main and thereby implement the functions already mentioned.
  • ACS is a system through which certain quantities are observed as a function of other quantities and alarm states are determined by exceeding threshold values, these threshold values either originating from the user or from automatically generated empirical values.
  • a type of monitoring that is to say the consideration of a variable as a function of another variable, is referred to below as a channel.
  • the following channels are preferably used, although additional channels can of course be added or existing channels can be omitted (splice means connecting thread ends, regardless of the type of connection, i.e.
  • SPLICE number of splices since the last cone change
  • REDL number of red lights per unit of time
  • SS downtime per splice
  • BBCH cone change per spooled yarn length
  • DFFS bobbin change per spooled yarn length
  • USPL splicing attempts per successful splice
  • SCUTS number of S cuts per spooled yarn length
  • LCUTS number of L cuts per spooled yarn length
  • TCUTS number of T cuts per spooled yarn length
  • Three alarm levels are set for each of these channels, which allow different statements depending on the respective criterion.
  • a total of three different criteria are used, with each channel being examined according to exactly one of these three criteria.
  • a reference base representative of a winding unit and a channel must be available. For a certain winding unit, this can be formed by all winding units of the same machine or by all winding units with the same yarn identification, that is to say with the same yarn section. In the practical version, there is a separate reference basis for each machine-dependent channel for each machine and for each yarn-dependent channel for each yarn section.
  • the alarm thresholds are values that must not be exceeded, for certain channels there are minima in addition to this maxima, these are thresholds that must not be fallen below.
  • the ACS is activated periodically and dates all channels at all winding stations during its activity and determines any alarm conditions. Such an update is called a scan cycle.
  • FIG. 3a shows two winding machines M1 and M2, each with four winding positions 1.1 to 1.4 or 2.1 to 2.4, on which three different yarn sections G1 to G3 are rewound.
  • 3b shows the corresponding assignments between winding units x, machines M (x) and yarn sections G (x).
  • 3c shows the current tables as they are obtained during the monitoring at the individual winding positions x for the individual channels k
  • FIG. 3d shows the reference tables used with the reference base machine for the two channels REDL and SS and the two winding machines M1 and M2 or with the reference base yarn for the three yarn sections G1 to G3 and the remaining 7 channels.
  • FIG. 3c there is a table with the current values for each winding unit.
  • This table in turn contains a table of the following form for each channel: status: channel switched on at this position Yes / No x: Independent size (since last reset) y: dependent size (since last reset) xtab (1 ... 3): Table with the x values of the individual alarm levels ytab (1 ... 3): Table with the y values of the individual alarm levels There are also auxiliary values for the update: xalt: value of the independent variable at time To yalt: Value of the dependent size at the time To Table 2: Table TYPE current
  • the MinTab and MaxTab data can be entered by the user or generated by the ACS.
  • the values xerf, yerf and erf are generated by the ACS.
  • mapping functions current table of the current type and ref: table of the reference type must exist.
  • ref table of the reference type
  • HolActuell currently assigns the current values of the winding unit x / channel k to the table. This function is easy to implement because the table of all values can be implemented as a two-dimensional matrix with the dimensions of the winding unit and channel.
  • HolReferenz assigns the reference values to table ref, which apply to winding unit x and channel k. This function is more complicated than HolA Meeting.
  • the tables MaschRefTab and GarnRefTab serve as sources.
  • MaschRefTab is a two-dimensional table for all machines and all channels belonging to the machine
  • GarnRefTab is a two-dimensional table for all yarn lots and all channels belonging to the yarn lot.
  • Fix (DatFix, ErfFix) was used in the description of the form of the table of the type reference (FIG. 3d).
  • a fix is a mark for the independent variable x. If x exceeds a certain fix, an appropriate action is triggered.
  • the DatFix and the ErfFix are there to save computing time so that there is no need to carry out complex calculations with every scan cycle that do not result in any significant changes.
  • the alarm fixes are used to grade the alarms.
  • a weighting of the past against the present is necessary, which is realized with the help of a past factor.
  • a past factor is defined for each channel, which applies to the entire winder.
  • the algorithm AN code table 4 does not observe any variable depending on another, but only adds up the frequency of an event since the last occurrence of another event. In practice, this means that AN is only used on one channel, namely the SPLICE channel, and the number of splices per cone has been counting there, ie since the last cone change. If the splices exceed a certain number, an alarm is triggered.
  • the RA and TP algorithms are used for several channels.
  • the pseudo code is not specified for each channel here, but the data structures specified in Tables 2 and 3 are used.
  • the RA code table 5 algorithm maintains three pairs of values with x and y values, the x values of which are separated by DatFix.
  • the most current pair of values is x1 / y1, the "oldest" x3 / y3.
  • An xy value pair is updated until x has exceeded the DatFix value.
  • This pair of values is then standardized to the interval DatFix and made the pair of values x1 / y1.
  • the old value pairs x1 / y1 and x2 / y2 are shifted backwards, x3 / y3 is lost. After an update, it is tested whether an alarm has occurred, the alarm levels being defined.
  • Alarm level 1 is an immediate exceeding of a limit value (y1 greater than max1 or less than min1)
  • alarm level 2 represents the moving average ((y1 + y2 + y3 greater than max2) or (y1 + y2 + y3 less than min2))
  • alarm level 3 represents determines whether there is a clearly wrong trend ((y1-y3 greater than max3) or (y3-y1 greater than min3)).
  • the threshold values of levels 1 and 3 must be specified by the user, the threshold values of alarm level 2 can be learned from experience.
  • TP Code-Table 6 has three identical levels, whereby the number of levels has no overriding meaning, but comes about through the symmetry to RA, which by definition has three alarm levels.
  • the three levels of TP differ only in one point, namely in the fixed value for x.
  • An xy pair is updated until x has exceeded the AlarmFixTab value of its level. If the x value of an alarm level has exceeded its AlarmFixTab value, the xy pair is normalized to this and compared with the threshold values. If the value is exceeded or not reached, an alarm is triggered. After comparing the normalized xy pair, this is multiplied by the past factor, no distinction being made as to whether an alarm condition has been determined or not.
  • the threshold values of each alarm level can be learned from experience.
  • An essential feature of the ACS is the self-learning mechanism, ie the possibility of forming threshold values from empirical values.
  • a representative basic set with statistical material is available in the form of the reference bases.
  • each channel of each reference base is tested after each scan cycle to determine whether its x value has exceeded the fixed value of the acquisition. If so, then a new empirical value and a new threshold value are formed, the new empirical value being composed of a weighting of the new values and the old empirical value.

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  • Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Filamentary Materials, Packages, And Safety Devices Therefor (AREA)
  • Spinning Or Twisting Of Yarns (AREA)
  • General Factory Administration (AREA)
  • Preliminary Treatment Of Fibers (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Selective Calling Equipment (AREA)
  • Injection Moulding Of Plastics Or The Like (AREA)
EP89118688A 1988-10-25 1989-10-07 Système de contrÔle d'une pluralité de postes de travail des machines textiles Expired - Lifetime EP0365901B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CH3969/88 1988-10-25
CH3969/88A CH681077A5 (fr) 1988-10-25 1988-10-25

Publications (3)

Publication Number Publication Date
EP0365901A2 true EP0365901A2 (fr) 1990-05-02
EP0365901A3 EP0365901A3 (en) 1990-06-13
EP0365901B1 EP0365901B1 (fr) 1995-12-13

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EP89118688A Expired - Lifetime EP0365901B1 (fr) 1988-10-25 1989-10-07 Système de contrÔle d'une pluralité de postes de travail des machines textiles

Country Status (7)

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US (1) US5124928A (fr)
EP (1) EP0365901B1 (fr)
JP (1) JPH02163266A (fr)
AT (1) ATE131447T1 (fr)
CH (1) CH681077A5 (fr)
DE (1) DE58909536D1 (fr)
ES (1) ES2080059T3 (fr)

Cited By (10)

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Publication number Priority date Publication date Assignee Title
WO1992013121A1 (fr) * 1991-01-23 1992-08-06 Maschinenfabrik Rieter Ag Conduite de processus pour l'industrie textile
EP0541483A1 (fr) * 1991-11-08 1993-05-12 Maschinenfabrik Rieter Ag Conduite de processus pour l'industrie textile
DE4334472A1 (de) * 1992-10-12 1994-04-14 Rieter Ag Maschf Maschinenüberwachungssystem
CH684952A5 (de) * 1991-04-05 1995-02-15 Rieter Ag Maschf Längsteilmaschine zur Verwendung in einer Maschinengruppe mit einem Prozessleitrechner.
EP0685580A1 (fr) 1994-06-02 1995-12-06 Zellweger Luwa Ag Procédé et dispositif pour déterminer les causes de défauts des fils, mèches et rubans de fibres
US5509179A (en) * 1990-06-25 1996-04-23 Mondini; Giancarlo Autoleveller draw frame having process feed back control system
EP0648872B1 (fr) * 1993-10-18 2001-05-09 Rieter Ingolstadt Spinnereimaschinenbau AG Détecteur et indicateur de défaut pour une unité de filature d'un métier à filer
WO2010054497A1 (fr) * 2008-11-14 2010-05-20 Uster Technologies Ag Procédé de surveillance d’un procédé de fabrication dans une usine textile
EP3754064A1 (fr) 2019-06-19 2020-12-23 Saurer Spinning Solutions GmbH & Co. KG Machine textile dotée de plusieurs postes de travail, ainsi que procédé de surveillance d'une machine textile dotée de plusieurs postes de travail
EP2338819B2 (fr) 2008-09-29 2021-02-24 Uster Technologies AG Surveillance de la qualité d'épissures dans un produit de test textile longitudinal

Families Citing this family (16)

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CH681462A5 (fr) * 1989-08-31 1993-03-31 Zellweger Uster Ag
JPH047269A (ja) * 1990-04-24 1992-01-10 Murata Mach Ltd 紡績工場における品質管理システム
EP0568082A1 (fr) * 1992-04-30 1993-11-03 Olympus Optical Co., Ltd. Système de traitement et de gestion de couture utilisant un dispositif électronique de traitement de données
JP2611611B2 (ja) * 1992-10-16 1997-05-21 村田機械株式会社 糸ムラ情報解析装置
EP0644282B1 (fr) * 1993-09-21 1997-07-09 B a r m a g AG Procédé de réglage de la qualité pendant la fabrication d'une pluralité de fils
CH691687A5 (de) * 1995-12-20 2001-09-14 Schlafhorst & Co W Verfahren zum Ueberprüfen des Fadenprofils beim Anspinnen in einer Offenend-Spinnmaschine.
JP4756411B2 (ja) 1998-03-25 2011-08-24 ウステル・テヒノロジーズ・アクチエンゲゼルシヤフト 長手方向に運動するテスト品の特性を測定する装置
DE19907684B4 (de) * 1999-02-23 2007-04-12 Saurer Gmbh & Co. Kg Textilmaschine mit Prozessoren an den Arbeitsstellen
JP4049107B2 (ja) * 2004-03-01 2008-02-20 株式会社豊田自動織機 紡績機における繊維束の品質管理方法
JP4058038B2 (ja) * 2004-12-22 2008-03-05 株式会社日立製作所 負荷監視装置および負荷監視方法
US20140277663A1 (en) 2013-03-15 2014-09-18 Neil Rohin Gupta System and Method for Creating Custom-Fit Apparel Designs
EP3175025B1 (fr) 2014-07-31 2018-12-19 Camozzi Digital S.r.l. Procede pour surveiller des paramètres physiques d'une machine textile
CN109844193A (zh) * 2016-09-26 2019-06-04 里特机械公司 纺织机的预测性维护的方法和系统
US11478033B2 (en) 2016-11-06 2022-10-25 Global Apparel Partners Inc. Knitted textile methods
JP2021017337A (ja) * 2019-07-19 2021-02-15 村田機械株式会社 糸巻取設備、強力推定方法、及び強力推定プログラム
CN117071096B (zh) * 2023-08-17 2025-09-23 浙江恒逸石化有限公司 基于知识图谱的丝锭质量控制方法、装置和设备

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BE758981A (fr) * 1969-11-14 1971-05-17 Westinghouse Electric Corp Systeme de controle des erreurs de fonctionnement d'un processus industriel
US3809870A (en) * 1972-06-08 1974-05-07 Gleason Works Method and apparatus for monitoring condition of cutting blades
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CH641422A5 (de) * 1979-03-16 1984-02-29 Zellweger Uster Ag Verfahren zur bewertung von garnfehlern.
EP0130179A1 (fr) * 1982-12-23 1985-01-09 Dst Digitale Steuerungssysteme Gmbh Procede et installation pour la surveillance de processus
CH661913A5 (de) * 1983-08-19 1987-08-31 Zellweger Uster Ag Verfahren und vorrichtung zur gleichzeitigen ueberwachung der garnqualitaet an einer vielzahl gleichartiger ueberwachungsstellen einer textilmaschine.
GB8407466D0 (en) * 1984-03-22 1984-05-02 Rieter Ag Maschf Yarn quality monitoring system
US4736324A (en) * 1984-11-20 1988-04-05 Tsudakoma Corp. Centralized control method for loom and device thereof
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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5509179A (en) * 1990-06-25 1996-04-23 Mondini; Giancarlo Autoleveller draw frame having process feed back control system
WO1992013121A1 (fr) * 1991-01-23 1992-08-06 Maschinenfabrik Rieter Ag Conduite de processus pour l'industrie textile
CH684952A5 (de) * 1991-04-05 1995-02-15 Rieter Ag Maschf Längsteilmaschine zur Verwendung in einer Maschinengruppe mit einem Prozessleitrechner.
EP0541483A1 (fr) * 1991-11-08 1993-05-12 Maschinenfabrik Rieter Ag Conduite de processus pour l'industrie textile
WO1993009279A1 (fr) * 1991-11-08 1993-05-13 Maschinenfabrik Rieter Ag Commande de processus dans l'industrie textile
DE4334472A1 (de) * 1992-10-12 1994-04-14 Rieter Ag Maschf Maschinenüberwachungssystem
EP0648872B1 (fr) * 1993-10-18 2001-05-09 Rieter Ingolstadt Spinnereimaschinenbau AG Détecteur et indicateur de défaut pour une unité de filature d'un métier à filer
EP0685580A1 (fr) 1994-06-02 1995-12-06 Zellweger Luwa Ag Procédé et dispositif pour déterminer les causes de défauts des fils, mèches et rubans de fibres
EP2338819B2 (fr) 2008-09-29 2021-02-24 Uster Technologies AG Surveillance de la qualité d'épissures dans un produit de test textile longitudinal
WO2010054497A1 (fr) * 2008-11-14 2010-05-20 Uster Technologies Ag Procédé de surveillance d’un procédé de fabrication dans une usine textile
EP3754064A1 (fr) 2019-06-19 2020-12-23 Saurer Spinning Solutions GmbH & Co. KG Machine textile dotée de plusieurs postes de travail, ainsi que procédé de surveillance d'une machine textile dotée de plusieurs postes de travail
DE102019116627A1 (de) * 2019-06-19 2020-12-24 Saurer Spinning Solutions Gmbh & Co. Kg Textilmaschine mit mehreren Arbeitsstellen sowie Verfahren zur Überwachung einer Textilmaschine mit mehreren Arbeitsstellen
US11866854B2 (en) 2019-06-19 2024-01-09 Saurer Spinning Solutions Gmbh & Co. Kg Textile machine having a plurality of workstations and a method for monitoring a textile machine having a plurality of workstations

Also Published As

Publication number Publication date
EP0365901A3 (en) 1990-06-13
CH681077A5 (fr) 1993-01-15
ATE131447T1 (de) 1995-12-15
ES2080059T3 (es) 1996-02-01
US5124928A (en) 1992-06-23
JPH02163266A (ja) 1990-06-22
DE58909536D1 (de) 1996-01-25
EP0365901B1 (fr) 1995-12-13

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