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Degradation Evaluation on Sensor Network Optimization in Fault Diagnosis Process

[+] Author Affiliations
Farzin Salehpour Oskouei, Mohammad Pourgol-Mohammad

Sahand University of Technology, Tabriz, Iran

Paper No. IMECE2015-53366, pp. V014T08A019; 6 pages
  • ASME 2015 International Mechanical Engineering Congress and Exposition
  • Volume 14: Emerging Technologies; Safety Engineering and Risk Analysis; Materials: Genetics to Structures
  • Houston, Texas, USA, November 13–19, 2015
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5757-1
  • Copyright © 2015 by ASME


Degradation process directly impacts the system operational state. It is necessary to consider this effect on system failure for developing a precise model for system condition determination. Reliability prediction based on degradation modeling is an efficient method to determine life duration for some highly reliable components or systems under rare failure event occurrences. Sensors, (potentially high reliable components) are exposed to different environmental conditions accelerating their degradation rate. This study is aimed to evaluate the sensor reliability affecting the monitoring process. First, a sensor characteristic is selected through which the degradation process is affected. Then a degradation model is developed to calculate the sensor time to failure. For studying the sensor reliability effect on monitoring process, sensors are considered as system components. It is assumed that the failure of component will occur only when both the component and related sensor fail together. Considering this phenomena, sensors are added to the system in parallel form. Then, functional model of each scenario is developed. Cutsets of each scenario is extracted and the probability of top event is calculated. The scenario with less top event probability is selected as the optimal one.

Copyright © 2015 by ASME



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