Performance Evaluation of Support Vector Machine for System Level Multi-fault Diagnosis-Reference-Cited by-同舟云学术

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Performance Evaluation of Support Vector Machine for System Level Multi-fault Diagnosis

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 Prognostics and Health Management Conference (PHM-2022 London)
language:
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Author:

Mishra Rismaya Kumar¹,Choudhary Anurag²,Mohanty Amiya Ranjan³,Fatima Shahab¹

Affiliation:

1. Indian Institute of Technology Delhi,Centre for Automotive Research and Tribology,New Delhi,India

2. Indian Institute of Technology Delhi,School of Interdisciplinary Research,New Delhi,India

3. Indian Institute of Technology Kharagpur,Department of Mechanical Engineering,West Bengal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9808358/9808447/09808655.pdf?arnumber=9808655

Reference24 articles.

1. Transducer invariant multi-class fault classification in a rotor-bearing system using support vector machines

2. Vibration based fault diagnosis of monoblock centrifugal pump using decision tree

3. Support vector machines based non-contact fault diagnosis system for bearings

4. A sensor fusion based approach for bearing fault diagnosis of rotating machine

5. An integrated approach of Adaptive Neuro-Fuzzy Inference System and dimension theory for diagnosis of rolling element bearing

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1. A generalized method for diagnosing multi-faults in rotating machines using imbalance datasets of different sensor modalities;Engineering Applications of Artificial Intelligence;2024-06

2. WSRGAN: A wavelet-based GAN for super-resolution of plane-wave ultrasound images without sampling loss;Engineering Applications of Artificial Intelligence;2024-01

3. Fault Diagnosis Method of Lithium-Ion Battery Leakage Based on Electrochemical Impedance Spectroscopy;IEEE Transactions on Industry Applications;2024-01

4. Multi-fault Diagnosis of Rotating Machine Under Uncertain Speed Conditions;Journal of Vibration Engineering & Technologies;2023-09-14

5. Realistic Condition-Based Anomaly Detection of Multi-Faults in Rotating Machines;2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET);2023-08-09

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