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Research article

First published 2020-3

Condition monitoring of railway pantographs to achieve fault detection and fault diagnosis

Tingyu Xin, Clive Roberts, Paul Weston [...]

Proceedings of the Institution of Mechanical Engineers,Part F: Journal of Rail and Rapid Transit

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Research article

First published 1998-2

Process plant condition monitoring and fault diagnosis

M A Sharif, R I Grosvenor

Proceedings of the Institution of Mechanical Engineers,Part E: Journal of Process Mechanical Engineering

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Research article

First published 2021-12

Fault detection of contactor using acoustic monitoring

Katsuhito Inoue, Edward Stewart, Mani Entezami

Advances in Mechanical Engineering

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Research article

First published 2010-1

Railway point mechanisms: Condition monitoring and fault detection

F P García Márquez, C Roberts, A M Tobias

Proceedings of the Institution of Mechanical Engineers,Part F: Journal of Rail and Rapid Transit

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Research article

First published 2011-2

A fault monitor for automated manufacturing systems using a hybrid Petri nets formalism

M. Dotoli, M.P. Fanti, A.M. Mangini

Transactions of the Institute of Measurement and Control

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Research article

First published 2015-1

Sensor fault detection in structural health monitoring using null subspace–based approach

A Rama Mohan Rao, Varun Kasireddy, N Gopalakrishnan [...]

Journal of Intelligent Material Systems and Structures

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Research article

First published 2026-3

Applied fault diagnosis with distributed monitoring systems: Bridging theory with practice

Vincent Kwao, Ioannis Raptis, Hilina Workneh

Transactions of the Institute of Measurement and Control

Free access

Research article

First published 2011-5

Monitoring of Wind Turbines: A Bio-Inspired Fault Tolerant Approach

Peng Li, Yong-Duan Song, Wei Liu [...]

Measurement and Control

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Research article

First published 2025

Study on fault sensitivity and feature distribution characteristics of wind turbine condition monitoring data

Yongchao Zhu, Caichao Zhu, Changming Zhang [...]

Structural Health Monitoring

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Research article

First published 2019-07-09

Condition monitoring and fault diagnosis of rotating machinery based on feature extraction and expression of vibration signals

Liu Haixia

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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