Predictive Maintenance Sensors Placement by Combinatorial Optimization

• Autorzy: Borissova D. I. , Mustakerov I. C. , Doukovska L. A.
• Języki publikacji: EN

Abstrakty

EN

The strategy of predictive maintenance monitoring is important for successful system damage detection. Maintenance monitoring utilizes dynamic response information to identify the possibility of damage. The basic factors of faults detection analysis are related to properties of the structure under inspection, collect the signals and appropriate signals processing. In vibration control, structures response sensing is limited by the number of sensors or the number of input channels of the data acquisition system. An essential problem in predictive maintenance monitoring is the optimal sensor placement. The paper addresses that problem by using mixed integer linear programming tasks solving. The proposed optimal sensors location approach is based on the difference between sensor information if sensor is present and information calculated by linear interpolation if sensor is not present. The tasks results define the optimal sensors locations for a given number of sensors. The results of chosen sensors locations give as close as possible repeating the curve of structure dynamic response function. The proposed approach is implemented in an algorithm for predictive maintenance and the numerical results indicate that together with intelligent signal processing it could be suitable for practical application.

Słowa kluczowe

EN

predictive maintenance; optimal sensors placement; combinatorial optimization

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2012
• Tom: Vol. 58, No. 2
• Strony: 153--158
• Opis fizyczny: Bibliogr. 15 poz., wykr.

Twórcy

autor

Borissova D. I.

autor

Mustakerov I. C.

autor

Doukovska L. A.

• Department of Information Processes and Systems, Institute of Information and Communication Technologies - BAS, Sofia, Acad. G. Bonchev St., block 2, 1113 Bulgaria,

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