NDLI: Model-Based Prognosis for Hybrid Systems With Mode-Dependent Degradation Behaviors

Content Provider	IEEE Xplore Digital Library
Author	Ming Yu Danwei Wang Ming Luo
Copyright Year	1982
Abstract	Prognosis of hybrid systems is a challenging problem because multiple faults may happen simultaneously at a mode where these faults have different detectability. In other words, at the fault-initiating mode, some of the faults are detectable while others are nondetectable. As a result, decision making based on only one observation of abnormal behavior is not reliable under this condition. This paper focuses on the development of a model-based prognosis framework for hybrid systems where a dynamic fault isolation scheme is proposed to facilitate the prognostic tasks. The degradation behavior of each faulty component is mode dependent and can be estimated by a hybrid differential evolution algorithm. Thereafter, the remaining useful life of the faulty component that varies with different operating modes is calculated by using both the estimated degradation model and the user-selected failure threshold. Experiments are carried out to validate the key concepts of the developed methods, and results suggest the effectiveness.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	546
Ending Page	554
Page Count	9
File Size	1042004
File Format	PDF
ISSN	02780046
Volume Number	61
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Circuit faults Degradation Mathematical model Vectors Standards Monitoring Switches remaining useful life (RUL) Degradation model differential evolution (DE) dynamic fault isolation (DFI) failure threshold hybrid systems model-based prognosis
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

An Integrated Approach to Prognosis of Hybrid Systems With Unknown Mode Changes

Residual-based failure prognostic in dynamic systems.

Model-Based Health Monitoring for a Vehicle Steering System With Multiple Faults of Unknown Types

Residual-based failure prognostic in dynamic systems.

Remaining useful life estimation based on Wiener degradation processes with random failure threshold

Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification

Model-based prognosis using an explicit degradation model and Inverse FORM for uncertainty propagation

Remaining useful life prediction of lithium-ion batteries based on wavelet denoising and transformer neural network

Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems

Model-Based Prognosis for Hybrid Systems With Mode-Dependent Degradation Behaviors

Similar Documents

An Integrated Approach to Prognosis of Hybrid Systems With Unknown Mode Changes

Residual-based failure prognostic in dynamic systems.

Model-Based Health Monitoring for a Vehicle Steering System With Multiple Faults of Unknown Types

Residual-based failure prognostic in dynamic systems.

Remaining useful life estimation based on Wiener degradation processes with random failure threshold

Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification

Model-based prognosis using an explicit degradation model and Inverse FORM for uncertainty propagation

Remaining useful life prediction of lithium-ion batteries based on wavelet denoising and transformer neural network

Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems

Model-Based Prognosis for Hybrid Systems With Mode-Dependent Degradation Behaviors