WO2012013209A1 - Methods and system for calculation of life cycles and identification of demand for goods - Google Patents

Methods and system for calculation of life cycles and identification of demand for goods Download PDF

Info

Publication number
WO2012013209A1
WO2012013209A1 PCT/EP2010/004673 EP2010004673W WO2012013209A1 WO 2012013209 A1 WO2012013209 A1 WO 2012013209A1 EP 2010004673 W EP2010004673 W EP 2010004673W WO 2012013209 A1 WO2012013209 A1 WO 2012013209A1
Authority
WO
WIPO (PCT)
Prior art keywords
goods
calculation
algorithm
those
service
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.)
Ceased
Application number
PCT/EP2010/004673
Other languages
French (fr)
Inventor
Ralf Gitzel
Marcel Dix
Christian Stich
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.)
ABB Technology AG
Original Assignee
ABB Technology AG
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by ABB Technology AG filed Critical ABB Technology AG
Priority to PCT/EP2010/004673 priority Critical patent/WO2012013209A1/en
Publication of WO2012013209A1 publication Critical patent/WO2012013209A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"

Definitions

  • the invention refers to a method and system for calculation of life cycles and identification of demand for goods by evaluation of state variables of technical goods such as distributed control systems, field devices and personal computers and their respective spare parts which data concerning specific properties and/or features of those goods are collected systematically and stored in a database in order to have all information available for reliable assessment of the life cycle of the respective good.
  • the method according to the invention is characterized in that the goods are identified in accordance with their properties with regard to specific criteria being relevant for the benefit or malfunction of the respective good.
  • Such criteria for identification of the goods may be the operation period, the frequency of failures as well as the number of failures, the load during operation, the estimated downtime, the service man hours, and the frequency of maintenance services.
  • the specific properties and/or features which are relevant for the use of those selected goods and/or for the duration of their use free of interruption and/or for their in-service behaviour are collected and evaluated with respect to the operational availability of the specific goods.
  • a specific algorithm is used for the calculation of metrics, whereas such metrics are estimated downtime, service man hours, or number of failures, which metrics are employed to gain any relevance for the next 10 to 15 years. Accordingly the result of the calculation is a predictive estimation and/or assessment.
  • an exemplary algorithm can be a simulation of a plant using estimated probabilities for failures. Consequently the output of said exemplary algorithm are metrics such as downtimes, service man hours consumed and the like.
  • Another embodiment of the method according to the invention provides that for the data of those goods belonging to selected customers likewise an algorithm is being employed in order to predict for those goods the prospective break for service by means of the evaluation these data.
  • a System for evaluation of state variables of technical goods such as turbines, generators, electric motors, switchgear and their respective spare parts which data concerning specific properties and/or features of those goods are collected systematically and stored in a database, is characterized in thatjhe system identifies the goods according to their properties with regard to specific criteria being relevant for the benefit or malfunction of the respective good.
  • the system employs the criteria for identification of the goods whereas these are such as estimated downtime, service man hours, number of failures.
  • the system evaluates the specific properties and/or features which are supposed to be relevant for the use of those selected goods and/or for the duration of their use free of interruption and/or for their in-service behaviour and are collected with respect to their operational availability.
  • the system employs a specific algorithm for the calculation of metrics such as estimated downtime, service man hours, number of failures occurring within the next 15 years. Whereas the result of the calculation is a predictive estimation and/or assessment.
  • system according to the invention advantageously adopts an exemplary algorithm for simulation of a plant using estimated probabilities for failures the outcome of adopting said exemplary algorithm are metrics such as downtimes, service man hours consumed and the like.
  • the system provides means for evaluation of the data of those goods being of interest for possible customers whereas the means utilize an algorithm in order to identify those goods being within reach of calculated downtime or of planned maintenance.
  • system evaluates the data of those goods belonging to selected customers by means of an algorithm in order to predict for those goods the prospective break for service and/or for prediction of opportunities of preferred actions.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Educational Administration (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to a method and a system for calculation of life cycles and identification of demand for goods by evaluation of state variables of technical goods such as distributed control systems, field devices and personal computers and their respective spare parts which data concerning specific properties and/or features of those goods are collected systematically and stored in a database, whereas the goods are identified according to there properties with regard to specific criteria being relevant for the benefit or malfunction of the respective good.

Description

Method and System for Calculation of Life Cycles and Identification of Demand for
Goods
Description
The invention refers to a method and system for calculation of life cycles and identification of demand for goods by evaluation of state variables of technical goods such as distributed control systems, field devices and personal computers and their respective spare parts which data concerning specific properties and/or features of those goods are collected systematically and stored in a database in order to have all information available for reliable assessment of the life cycle of the respective good.
It is already known that any prediction of certain occurrences within the near or far future is desirable, but it is known, too, that such predictions often fail to become true.
Furthermore with the increase of calculation power the efforts for developing such methods and system which allow any reliable prediction or at least a safe estimation of selected criteria with respect to measurable properties or appreciable data of goods, in particular technical equipment such as turbines, generators, electric motors, switchgear and their respective spare parts and the like are raised.
Hence it is an object of the present invention to provide a method and a system for the calculation of system properties influenced by the life cycle as well as for identification of demand for goods according to the preliminary part as stated before which are easily viable at rather low effort. Accordingly the method according to the invention is characterized in that the goods are identified in accordance with their properties with regard to specific criteria being relevant for the benefit or malfunction of the respective good.
Such criteria for identification of the goods may be the operation period, the frequency of failures as well as the number of failures, the load during operation, the estimated downtime, the service man hours, and the frequency of maintenance services.
According to a preferred embodiment the specific properties and/or features which are relevant for the use of those selected goods and/or for the duration of their use free of interruption and/or for their in-service behaviour, are collected and evaluated with respect to the operational availability of the specific goods.
Preferably a specific algorithm is used for the calculation of metrics, whereas such metrics are estimated downtime, service man hours, or number of failures, which metrics are employed to gain any relevance for the next 10 to 15 years. Accordingly the result of the calculation is a predictive estimation and/or assessment.
According to an advantageous embodiment of the invention an exemplary algorithm can be a simulation of a plant using estimated probabilities for failures. Consequently the output of said exemplary algorithm are metrics such as downtimes, service man hours consumed and the like.
Another variant of the method according to the invention the data of those goods being of interest for possible customers are evaluated by means of an algorithm in order to identify those goods being within reach of calculated downtime or of planned maintenance.
Additionally another embodiment of the method according to the invention provides that for the data of those goods belonging to selected customers likewise an algorithm is being employed in order to predict for those goods the prospective break for service by means of the evaluation these data.
Finally the method according to the invention will provide for prediction of opportunities for any actions like repair, maintenance, service, or substitution by adopting the respective data. A System for evaluation of state variables of technical goods such as turbines, generators, electric motors, switchgear and their respective spare parts which data concerning specific properties and/or features of those goods are collected systematically and stored in a database, is characterized in thatjhe system identifies the goods according to their properties with regard to specific criteria being relevant for the benefit or malfunction of the respective good.
Moreover the system employs the criteria for identification of the goods whereas these are such as estimated downtime, service man hours, number of failures.
Preferably according to an advantageous embodiment of the system according to the invention the system evaluates the specific properties and/or features which are supposed to be relevant for the use of those selected goods and/or for the duration of their use free of interruption and/or for their in-service behaviour and are collected with respect to their operational availability.
According to the invention the system employs a specific algorithm for the calculation of metrics such as estimated downtime, service man hours, number of failures occurring within the next 15 years. Whereas the result of the calculation is a predictive estimation and/or assessment.
Furthermore the system according to the invention advantageously adopts an exemplary algorithm for simulation of a plant using estimated probabilities for failures the outcome of adopting said exemplary algorithm are metrics such as downtimes, service man hours consumed and the like.
Besides that the system provides means for evaluation of the data of those goods being of interest for possible customers whereas the means utilize an algorithm in order to identify those goods being within reach of calculated downtime or of planned maintenance.
Finally the system according to the invention evaluates the data of those goods belonging to selected customers by means of an algorithm in order to predict for those goods the prospective break for service and/or for prediction of opportunities of preferred actions.

Claims

Claims
1. Method for calculation of life cycles and identification of demand for goods by evaluation of state variables of technical goods such as distributed control systems, field devices and personal computers and their respective spare parts which data concerning specific properties and/or features of those goods are collected systematically and stored in a database, whereas the goods are identified according to their properties with regard to specific criteria being relevant for the benefit or malfunction of the respective good.
2. Method according to claim 1 whereas the criteria are such as estimated downtime, service man hours, number of failures.
3. Method according to claim 1 or 2 whereas the specific properties and/or features being relevant for the use of those selected goods and/or for the duration of their use free of interruption and/or for their in-service behaviour being collected are evaluated with respect to their operational availability.
4. Method according to at least one of the preceding claims whereas a specific algorithm is used for the calculation of metrics for the next 15 years.
5. Method according to claim 4 whereas the result of the calculation is a predictive estimation and/or assessment.
6. Method according to at least one of the preceding claims whereas an exemplary algorithm is a simulation of a plant using estimated probabilities for failures.
7. Method according to claim 6 where the output of said exemplary algorithm are metrics such as downtimes, service man hours consumed and the like.
8. Method according to at least one of the preceding claims whereas the data of those goods belonging to selected customers are evaluated by means of an algorithm in order to predict for those goods the prospective break for service.
9. Method according to claim 3 whereas the respective data are used for prediction of opportunities for preferred actions.
10. System for calculation of life cycles and identification of demand for goods by evaluation of state variables of technical goods such as distributed control systems, field devices and personal computers and their respective spare parts which data concerning specific properties and/or features of those goods are collected systematically and stored in a database,
characterized in that
the system identifies the goods according to their properties with regard to specific criteria being relevant for the benefit or malfunction of the respective good.
11 . System according to claim 10 whereas the criteria for identification of the goods are such as estimated downtime, service man hours, number of failures.
12. System according to claim 10 or 11 whereas the system evaluates the specific properties and/or features being relevant for the use of those selected goods and/or for the duration of their use free of interruption and/or for their in-service behaviour being collected with respect to their operational availability.
13. System according to at least one of the preceding claims 10 to 12 whereas the system employs a specific algorithm for the calculation of metrics such as estimated downtime, service man hours, number of failures occurring within a predetermined time period
14. System according to claim 13 whereas the result of the calculation is a predictive estimation and/or assessment.
15. System according to at least one of the preceding claims 10 to 14 whereas it adopts an exemplary algorithm for simulation of a plant using estimated probabilities for failures.
16. System according to claim 15 whereas the outcome of adopting said exemplary algorithm are metrics such as downtimes, service man hours consumed and the like.
17. System according to at least one of the preceding claims 10 to 16 whereas the data of those goods being of interest for possible customers are evaluated by means of an algorithm in order to identify those goods being within reach of calculated downtime or of planned maintenance.
18. System according to at least one of the preceding claims 10 to 18 whereas the system evaluates the data of those goods belonging to selected customers by means of an algorithm in order to predict for those goods the prospective break for service.
19. System according to at least one of the preceding claims 10 to 18 whereas the system utilizes selected data for prediction of opportunities of preferred actions.
PCT/EP2010/004673 2010-07-30 2010-07-30 Methods and system for calculation of life cycles and identification of demand for goods Ceased WO2012013209A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/EP2010/004673 WO2012013209A1 (en) 2010-07-30 2010-07-30 Methods and system for calculation of life cycles and identification of demand for goods

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/EP2010/004673 WO2012013209A1 (en) 2010-07-30 2010-07-30 Methods and system for calculation of life cycles and identification of demand for goods

Publications (1)

Publication Number Publication Date
WO2012013209A1 true WO2012013209A1 (en) 2012-02-02

Family

ID=43259770

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2010/004673 Ceased WO2012013209A1 (en) 2010-07-30 2010-07-30 Methods and system for calculation of life cycles and identification of demand for goods

Country Status (1)

Country Link
WO (1) WO2012013209A1 (en)

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Statement in accordance with the Notice from the European Patent Office dated 1 October 2007 concerning business methods (OJ 11/2007; p572f) The claimed subject matter, with due regard to the description, relates to processes comprised in the list of subject matter and activities for which no search is required under Rule 39 PCT. The only identifiable technical aspects of the claimed invention relate to the use of conventional, general-purpose data processing technology for processing data of an inherently non-technical nature. The information technology employed is considered to have been generally known as it was widely available to everyone at the date of filing/priority of the present application. The notoriety of such prior art cannot reasonably be contested. No documentary evidence was therefore considered required. *

Similar Documents

Publication Publication Date Title
Medjaher et al. Remaining useful life estimation of critical components with application to bearings
EP3923101B1 (en) Method and computing system for performing a prognostic health analysis for an asset
Yang An intelligent condition-based maintenance platform for rotating machinery
Moghaddass et al. An integrated framework for online diagnostic and prognostic health monitoring using a multistate deterioration process
Barabadi Reliability model selection and validation using Weibull probability plot—A case study
KR101943438B1 (en) Asset management method for electric power apparatus
US8898525B2 (en) Method and system for use in condition monitoring
Louen et al. A new framework for remaining useful life estimation using support vector machine classifier
KR102366922B1 (en) heavy electric equipment deterioration prediction system based on time-series isolation diagnostic information and method therefor
KR20180121217A (en) Asset management method for electric power apparatus
Abeygunawardane et al. Application of probabilistic maintenance models for selecting optimal inspection rates considering reliability and cost tradeoff
Roman et al. A review of the role of prognostics in predicting the remaining useful life of assets
CN117616655A (en) Electric power demand forecasting method and system
Honarmand et al. Reliability modeling of process-oriented smart monitoring in the distribution systems
Olojede et al. Application of machine learning in power grid fault detection and maintenance
CN106779443B (en) Operational risk determination method and device in power dispatching
Yang et al. Optimisation of maintenance schedules and extents for composite power systems using multi-objective evolutionary algorithm
Turrin et al. An algorithm for data-driven prognostics based on statistical analysis of condition monitoring data on a fleet level
Wang et al. Reinforcement learning based predictive maintenance for a machine with multiple deteriorating yield levels
WO2012013209A1 (en) Methods and system for calculation of life cycles and identification of demand for goods
Wang et al. A stochastic filtering based data driven approach for residual life prediction and condition based maintenance decision making support
Mahoor et al. Data fusion and machine learning integration for transformer loss of life estimation
Ghavami et al. Probabilistic evaluation of the effect of maintenance parameters on reliability and cost
EP4687082A1 (en) Method and processing system for an asset state prediction
Herd et al. Prognostic health management techniques for intelligent condition monitoring of offshore renewable generation assets

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 10745134

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 10745134

Country of ref document: EP

Kind code of ref document: A1