Uncertainty Analysis in the Application of Fault Diagnosis and Prognosis

Fault Diagnosis and Prognosis (FDP) approaches have gained significant attention in the past decades. The performance of FDP relies greatly on the model that describes the fault behavior and dynamics under study. For commonly used state space model, uncertainties exist in both the state transition e...

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Bibliographic Details
Published in2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) pp. 686 - 690
Main Authors Lyu, Dongzhen, Niu, Guangxing, Yang, Tao, Gang, Chen, Zhang, Bin
Format Conference Proceeding
LanguageEnglish
Published IEEE 10.05.2021
Subjects
Analytical models
Conferences
Cyber-physical systems
Extraterrestrial measurements
Fault diagnosis
Fault diagnosis and prognosis
Measurement uncertainty
State space model
Uncertainty
Uncertainty management
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Summary:Fault Diagnosis and Prognosis (FDP) approaches have gained significant attention in the past decades. The performance of FDP relies greatly on the model that describes the fault behavior and dynamics under study. For commonly used state space model, uncertainties exist in both the state transition equation and the measurement equation. In this paper, the influence of uncertainties on FDP results are studied and compared in terms of accuracy, precision and divergence. It shows that the uncertainty settings can have significant influence on FDP performance.
DOI:10.1109/ICPS49255.2021.9468122