An Approach to Fault Diagnosis of Rotating Machinery Using the Second-Order Statistical Features of Thermal Images and Simplified Fuzzy ARTMAP

ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.net/journal/eng
E-mail: [email protected]

Citations

"An Approach to Fault Diagnosis of Rotating Machinery Using the Second-Order Statistical Features of Thermal Images and Simplified Fuzzy ARTMAP"
written by Faisal Al Thobiani, Van Tung Tran, Tiedo Tinga,
published by Engineering, Vol.9 No.6, 2017

has been cited by the following article(s):

[1]	RFR-GA-BLS: A Feature Selection and Parameter Optimization Method for Fault Diagnosis of Rolling Bearing Using Infrared Images
	Applied Sciences, 2023

[2]	SSDStacked-BLS with Extended Depth and Width: Infrared Fault Diagnosis of Rolling Bearings under Dual Feature Selection
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[3]	Machine learning-based fault diagnosis for industrial engineering systems
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[4]	Unbalance detection in rotating machinery based on support vector machine using time and frequency domain vibration features
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[5]	REMOTE MONITORING AND INTELLIGENT FAILURE DIAGNOSIS OF ROTATING MACHINERY USING THE B/S MODE
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[6]	A review on fault diagnosis of misaligned rotor systems
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[7]	Modern Diagnostics of Aircraft Gas Turbine Engines
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[8]	Optimal region growing and multi-kernel SVM for fault detection in electrical equipments using infrared thermography images
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[9]	A Review on Fault Diagnosis of Misaligned Rotor Systems.
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[10]	Physical Model-Based Prognostics and Health Monitoring to Enable Predictive Maintenance
	2019

[11]	An investigation into the benefits obtained by introducing Reliability Centred Maintenance in industrial organisations
	2019

[12]	A New Structural Health Monitoring Strategy Based on PZT Sensors and Convolutional Neural Network
	Sensors, 2018

[13]	88. Feather Extraction of Equipment Fault Diagnosis
	2017

[1]	Advanced thermal vision techniques for enhanced fault diagnosis in electrical equipment: a review International Journal of System Assurance Engineering and Management, 2025 DOI:10.1007/s13198-025-02782-9

[2]	RFR-GA-BLS: A Feature Selection and Parameter Optimization Method for Fault Diagnosis of Rolling Bearing Using Infrared Images Applied Sciences, 2023 DOI:10.3390/app13137350

[3]	Unbalance detection in rotating machinery based on support vector machine using time and frequency domain vibration features Noise & Vibration Worldwide, 2021 DOI:10.1177/0957456521999836

[4]	Modern Diagnostics of Aircraft Gas Turbine Engines IOP Conference Series: Materials Science and Engineering, 2020 DOI:10.1088/1757-899X/714/1/012010

[5]	Predictive Maintenance in Dynamic Systems 2019 DOI:10.1007/978-3-030-05645-2_11

[6]	A New Structural Health Monitoring Strategy Based on PZT Sensors and Convolutional Neural Network Sensors, 2018 DOI:10.3390/s18092955