Lebesgue-Time–Space-Model-Based Diagnosis and Prognosis for Multiple Mode Systems
Authors:
- 5 February 2020
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industrial Electronics
- Vol. 68 (2) , 1591-1603
Abstract
Lebesgue-sampling based fault diagnosis and prognosis (LS-FDP) is developed with advantages of light computation and small uncertainty accumulation. In previous research, the applications of LS-FDP are developed for single-model degradation processes, which do not consider degradation processes that involve multiple modes with switching models. To address this scenario, this paper proposes a modified interacting multiple model (IMM) filter in the Lebesgue-Time-Space-Model (LTSM) based FDP framework. The design, analysis, and particle filtering based implementation of the proposed method are discussed in detail. A simulation example and a real experiment are presented to demonstrate the accuracy, effectiveness, robustness, and universality of the proposed method.Keywords
Funding Information
- Double First Class Research Funding of China-EU Institute for Clean and Renewable Energy
- ASPIRE
- University of South Carolina
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