A feature extraction and visualization method for fault detection of marine diesel engines-Reference-Cited by-同舟云学术

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A feature extraction and visualization method for fault detection of marine diesel engines

Published:2018-02 Issue: Volume:116 Page:429-437
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Xi Wenkui,Li Zhixiong,Tian Zhe,Duan Zhihe

Funder

National Natural Sciences Foundation of China

Shanxi National Science Foundation of China

Yingcai Project of CUMT

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference38 articles.

1. Vibro-acoustic condition monitoring of internal combustion engines: a critical review of existing techniques;Delvecchio;Mech. Syst. Signal Process.,2018

2. Discriminative non-negative matrix factorization (DNMF) and its application to the fault diagnosis of diesel engine;Yang;Mech. Syst. Signal Process.,2017

3. On-line indicated torque estimation for internal combustion engines using discrete observer;Li;Comput. Electr. Eng.,2017

4. Investigation into the dynamic response of cylinder liners in an IC engine based on a validated finite-element model;Li;Syst. Sci. Control Eng.,2017

5. Failure mode and effects analysis of diesel engine for ship navigation system improvement;Faturachman;Int. J. Serv. Sci. Manage. Eng.,2014

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3. Role of image feature enhancement in intelligent fault diagnosis for mechanical equipment: A review;Engineering Failure Analysis;2024-02

4. Fault detection and diagnosis of marine diesel engines: A systematic review;Ocean Engineering;2024-02

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