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RISAn Intelligent Prediction for Detecting Bearing Vibration Characteristics Using a Machine Learning Model
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Bearing failure in the heavy rotating machines results in shut down of many other machines and affects the overall cost and quality of the product. Condition monitoring of bearing systems acts as a preventive and corrective ...
Experimental Analysis of Spur Gear Pair With Geometrical and Operating Parameters
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This study presents experimental work to analyze spur gear pair with geometrical and operating parameters. The spur gear pair accommodates the correction in tooth addendum, gear backlash, and linear tip-relief profile ...
A Novel Incipient Fault Detection Technique for Roller Bearing Using Deep Independent Component Analysis and Variational Modal Decomposition
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Roller bearing failure can result in downtime or the entire outage of rotating machinery. As a result, a timely incipient bearing defect must be diagnosed to ensure optimal process operation. Modern condition monitoring ...
Unbalance Bearing Fault Identification Using Highly Accurate Hilbert–Huang Transform Approach
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The dynamic characteristics of rolling element bearings are strongly related to their geometric and operating parameters, most importantly the bearing unbalance. Modern condition monitoring necessitates the use of intrinsic ...
Identification of Bearing Clearance in Sugar Centrifuge Using Dimension Theory and Support Vector Machine on Vibration Measurement
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Bearing fatigue life is significantly influenced by bearing clearance. Vibration monitoring of bearing clearance deviations can efficiently reveal bearing wear and give sufficient lead time for maintenance. This study ...
Rolling Element Bearing Fault Diagnosis by the Implementation of Elman Neural Networks With Long Short-Term Memory Strategy
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Bearing clearance is a common issue in mechanical systems due to unavoidable assembly errors, leading to weak fault features that are challenging to detect. This study introduces a novel diagnostic technique for detecting ...
Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A rotor-bearing system experiences numerous vibrations during the operation that frequently degrade performance and endanger operational safety. Roller-bearing failure has significant consequences, leading to downtime or ...
Identification and Fault Diagnosis of Rolling Element Bearings Using Dimension Theory and Machine Learning Techniques
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The study presents the classification of bearing fault types occurring in rotating machines using machine learning techniques. Recent condition monitoring demands all-inclusive but precise fault diagnosis for industrial ...
An Integrated Dimension Theory and Modulation Signal Bispectrum Technique for Analyzing Bearing Fault in Industrial Fibrizer
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This study investigates the dynamics of roller bearings by utilizing the dimension theory technique to diagnose the bearing clearance faults of revolving machines. The generation of local defects in rotating machines is ...
A Novel Method for Bearing Fault Diagnosis Based on Novel Feature Sets With Machine Learning Technique
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Bearings often experience small and medium raceway damage due to operating and loading conditions, which induces abnormal dynamic behavior. The rotor-bearing system is tested at various conditions, and the influence of ...