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RISDynamics Characteristics and Diagnosis of a Rotor-Bearing's System Through a Dimensional Analysis Approach: An Experimental Study
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this work, vibration characteristic diagnosis of misalignment rotor in loosely fitted bearing is investigated using dimensional analysis (DA) approach. A comprehensive empirical model (EM) using nondimensional parameters ...
An 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 ...
Dynamic Response Analysis of Gearbox to Improve Fault Detection Using Empirical Mode Decomposition and Artificial Neural Network Techniques
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Since the last decade, gearbox systems have been requiring increasing power, and consequently, the complexity of systems has escalated. Inevitably, this complexity has resulted in the need for the troubleshooting of gearbox ...
Vibration Analysis of Deep Groove Ball Bearing Using Finite Element Analysis and Dimension Analysis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Condition monitoring of rotor dynamic is recognized as an advanced preventative maintenance technique for fault-free operation. Faulty bearings in rotating machines may cause severe problems and even untimely breakdowns. ...
Roller Element Bearing Fault Size Estimation Using Adaptive Neurofuzzy Inference System
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The vibration level is a function of the defects in the bearing. By identifying a change in vibration level, one can predict the dynamic behavior and fault in the rotor-bearing system. An imminent bearing fault detection ...
Experimental and Numerical Studies on Spherical Roller Bearings Using Multivariable Regression Analysis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Many industries make wide use of rotor bearing systems such as high speed turbines and generators. However, the vibration of antifriction rotor–bearings is a key factor in reducing the life of the bearings; thus significantly ...
Experimental Based Fault Diagnosis of Rolling Bearings Using Artificial Neural Network
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, an innovative system for conditionbased monitoring (CBM) using modelbased estimation (MBE) and artificial neural network (ANN) is proposed. Fault diagnosis of deep groove ball bearings (DGBB) is a key machine ...
Antifriction Bearings Damage Analysis Using Experimental Data Based Models
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Diagnosis of antifriction bearings is usually performed by means of vibration signals measured by accelerometers placed in the proximity of the bearing under investigation. The aim is to monitor the integrity of the bearing ...
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 ...
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 ...