MX363820B - Sistemas y métodos para minería de confiabilidad predictiva. - Google Patents
Sistemas y métodos para minería de confiabilidad predictiva.Info
- Publication number
- MX363820B MX363820B MX2016003249A MX2016003249A MX363820B MX 363820 B MX363820 B MX 363820B MX 2016003249 A MX2016003249 A MX 2016003249A MX 2016003249 A MX2016003249 A MX 2016003249A MX 363820 B MX363820 B MX 363820B
- Authority
- MX
- Mexico
- Prior art keywords
- generated
- failures
- failure
- dtcs
- future
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0709—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0751—Error or fault detection not based on redundancy
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0766—Error or fault reporting or storing
- G06F11/0772—Means for error signaling, e.g. using interrupts, exception flags, dedicated error registers
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
- G06N5/046—Forward inferencing; Production systems
- G06N5/047—Pattern matching networks; Rete networks
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Quality & Reliability (AREA)
- Automation & Control Theory (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- Medical Informatics (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Biomedical Technology (AREA)
- Computer Hardware Design (AREA)
- Algebra (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Probability & Statistics with Applications (AREA)
- Mathematical Analysis (AREA)
- Computational Linguistics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Debugging And Monitoring (AREA)
Abstract
Se proporcionan sistemas y métodos para minería de confiabilidad predictiva que permiten predecir fallas emergentes no esperadas en el futuro sin esperar que empiecen a ocurrir fallas actuales en números significativos. Los grupos de Códigos de Diagnóstico de Fallas discriminativos (DTC) de máquinas conectadas en una población se identifican antes de la falla de las partes asociadas. Se genera un modelo de dependencia condicional temporal en función de la dependencia temporal entre la falla de las partes a partir de datos de fallas anteriores y los grupos identificados de los DTC discriminativos. Las fallas futuras se predicen en función de la dependencia condicional temporal generada y se realiza análisis de causas principales de las fallas futuras predichas para minería de confiabilidad predictiva. La probabilidad de falla se calcula en función de la ocurrencia y no ocurrencia de los DTC. El análisis de causas principales permite identificar un subgrupo de la población cuando se genera una advertencia temprana y también cuando no se genera una advertencia temprana. Utilice FIGURA 2.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| IN3922MU2015 | 2015-10-15 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| MX2016003249A MX2016003249A (es) | 2017-04-14 |
| MX363820B true MX363820B (es) | 2019-04-04 |
Family
ID=55521480
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MX2016003249A MX363820B (es) | 2015-10-15 | 2016-03-11 | Sistemas y métodos para minería de confiabilidad predictiva. |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US10248490B2 (es) |
| EP (1) | EP3156870B1 (es) |
| JP (1) | JP6716297B2 (es) |
| AU (1) | AU2016201425B2 (es) |
| CA (1) | CA2922108C (es) |
| MX (1) | MX363820B (es) |
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| EP3444724B1 (en) * | 2017-08-18 | 2023-12-20 | Tata Consultancy Services Limited | Method and system for health monitoring and fault signature identification |
| US11113168B2 (en) * | 2018-03-09 | 2021-09-07 | Toyota Motor Engineering & Manufacturing North America, Inc. | Distributed architecture for fault monitoring |
| GB201808881D0 (en) * | 2018-03-27 | 2018-07-18 | We Predict Ltd | Vehicle diagnostics |
| CN110362849B (zh) * | 2018-04-09 | 2025-01-10 | 卡明斯公司 | 基于使用的动力系统/机器部件的故障率估计 |
| US11010992B2 (en) | 2018-04-09 | 2021-05-18 | Ford Global Technologies, Llc | In-vehicle surveys for diagnostic code interpretation |
| CN108572552B (zh) * | 2018-04-24 | 2021-04-27 | 杭州电子科技大学 | 一种基于故障报警的混合无源/h∞的混杂控制方法 |
| US11335137B2 (en) * | 2019-04-05 | 2022-05-17 | Conduent Business Services, Llc | Trained pattern analyzer for roll out decisions |
| CN110345986B (zh) * | 2019-06-11 | 2020-08-25 | 北京航空航天大学 | 一种基于随机共振和任务迁移的多应力测试方法 |
| JP7145821B2 (ja) * | 2019-07-05 | 2022-10-03 | 株式会社日立製作所 | 故障確率評価システムおよびその方法 |
| CN110795260B (zh) * | 2019-09-10 | 2023-08-08 | 武汉攀升鼎承科技有限公司 | 一种智能客户关怀系统 |
| CN110826179B (zh) * | 2019-09-29 | 2023-07-11 | 贵州电网有限责任公司 | 一种智能变电站继电保护实时可靠性预测方法 |
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| CN112925806B (zh) * | 2021-04-14 | 2023-07-25 | 中国人民解放军海军航空大学岸防兵学院 | 基于关联规则的性能退化特征参数提取方法、系统、介质及设备 |
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| CN115526369B (zh) * | 2021-06-25 | 2023-07-14 | 东风本田发动机有限公司 | 汽车零件的失效预测方法、装置、计算机设备和存储介质 |
| US11914358B2 (en) | 2021-09-01 | 2024-02-27 | Ford Global Technologies, Llc | Methods and systems for anomaly detection of a vehicle |
| US12189383B2 (en) | 2021-09-01 | 2025-01-07 | Ford Global Technologies, Llc | Methods and systems for estimating a remaining useful life of an asset |
| US11941641B2 (en) | 2021-10-15 | 2024-03-26 | EMC IP Holding Company LLC | Method and system to manage technical support sessions using historical technical support sessions |
| US12008025B2 (en) | 2021-10-15 | 2024-06-11 | EMC IP Holding Company LLC | Method and system for augmenting a question path graph for technical support |
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-
2016
- 2016-02-29 CA CA2922108A patent/CA2922108C/en active Active
- 2016-02-29 EP EP16157836.4A patent/EP3156870B1/en active Active
- 2016-03-01 US US15/057,882 patent/US10248490B2/en active Active
- 2016-03-04 AU AU2016201425A patent/AU2016201425B2/en active Active
- 2016-03-11 JP JP2016048155A patent/JP6716297B2/ja active Active
- 2016-03-11 MX MX2016003249A patent/MX363820B/es active IP Right Grant
Also Published As
| Publication number | Publication date |
|---|---|
| AU2016201425A1 (en) | 2017-05-04 |
| US20170109222A1 (en) | 2017-04-20 |
| EP3156870A1 (en) | 2017-04-19 |
| CA2922108A1 (en) | 2017-04-15 |
| US10248490B2 (en) | 2019-04-02 |
| CA2922108C (en) | 2023-03-07 |
| JP2017076360A (ja) | 2017-04-20 |
| EP3156870B1 (en) | 2022-06-01 |
| BR102016005478A2 (pt) | 2017-05-02 |
| MX2016003249A (es) | 2017-04-14 |
| AU2016201425B2 (en) | 2018-01-18 |
| JP6716297B2 (ja) | 2020-07-01 |
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