Advanced Bearing-Fault Diagnosis and Classification Using Mel-Scalograms and FOX-Optimized ANN

Advanced Bearing-Fault Diagnosis and Classification Using Mel-Scalograms and FOX-Optimized ANN

Accurate and reliable bearing-fault diagnosis is important for ensuring the efficiency and safety of industrial machinery. This paper presents a novel method for bearing-fault diagnosis using Mel-transformed scalograms obtained from vibrational signals (VS). The signals are windowed and pass through...

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Bibliographic Details
Main Authors: Muhammad Farooq Siddique, Wasim Zaman, Saif Ullah, Muhammad Umar, Faisal Saleem, Dongkoo Shon, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
vibrational signals (VS)
fault diagnosis
MEL-spectrum
artificial neural network
fox optimizer
Online Access:https://www.mdpi.com/1424-8220/24/22/7303
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