Fault prognostic of electronics based on optimal multi-order particle filter-Reference-Cited by-同舟云学术

Fault prognostic of electronics based on optimal multi-order particle filter

Published:2016-07 Issue: Volume:62 Page:167-177
ISSN:0026-2714
Container-title:Microelectronics Reliability
language:en
Short-container-title:Microelectronics Reliability

Author:

Jiang Yuanyuan,Wang Youren,Wu Yi,Sun Quan

Funder

National Natural Science Foundation of China

Young Talents Foundation of Anhui Province

Fund of National Engineering and Research Centre for Commercial Aircraft Manufacturing

Fundamental Research Funds for the Central Universities and Funding of Jiangsu Innovation Program for Graduate Education

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Surfaces, Coatings and Films,Safety, Risk, Reliability and Quality,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference42 articles.

1. Lifetime estimation of high-power white LED using degradation-data-driven method;Fan;IEEE Trans. Device Mater. Reliab.,2012

2. Assessment of accrued damage and remaining useful life in leadfree electronics subjected to multiple thermal environments of thermal aging and thermal cycling;Lall;IEEE Trans. Compon. Packag. Manuf. Technol.,2012

3. Physics-of-failure lifetime prediction models for wire bond interconnect in power electronic modules;Li;IEEE Trans. Device Mater. Reliab.,2013

4. A review of data-driven prognostics in power electronics;Kabir,2012

5. A prognostics and health management roadmap for information and electronics-rich systems;Pecht;Microelectron. Reliab.,2010

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Incipient Fault Diagnosis for DC–DC Converter Based on Multi-Dimensional Feature Fusion;IEEE Access;2023

2. OASIS-P: Operable Adaptive Sparse Identification of Systems for fault Prognosis of chemical processes;Journal of Process Control;2021-11

3. Remaining useful life prediction in embedded systems using an online auto-updated machine learning based modeling;Microelectronics Reliability;2021-04

4. A critical review on self-adaptive Li-ion battery ageing models;Journal of Power Sources;2018-10

5. Remaining useful life prediction for lithium-ion batteries based on an integrated health indicator;Microelectronics Reliability;2018-09