On modeling and damage detection methodologies in rotor systems

R Abdul Nasar, T Alzarooni, MA AL-Shudeifat - Nonlinear Dynamics, 2024 - Springer
Damages in rotor systems have severe impact on their functionality, safety, running
durability and their industrial productivity, which usually leads to unavoidable economical …

A review of application of data science tools in crack identification and localization

N Teyi, S Singh - Procedia Structural Integrity, 2022 - Elsevier
A rotating shaft supported by bearings over which a disc is attached concentric to it, as a
single unit is called a rotor, which forms the basis of functions of many machine systems. A …

Transverse forced nonlinear vibration analysis of a double-beam system with a supporting nonlinearity

Y Zhao, X Hu, J Du, Y Liu, F He - Journal of Vibration and …, 2024 - journals.sagepub.com
To exploit the potential application of supporting nonlinearity in marine engineering, an
attempt is made to establish the transverse forced vibration analysis model of a double …

Sparsity assisted intelligent recognition method for vibration-based machinery health diagnostics

Y Kong, Q Han, F Chu - Journal of Vibration and Control, 2023 - journals.sagepub.com
Vibration-based health diagnostics technique has shown great potentials to enhance the
safety and reliability for many industrial rotary machinery. The emerging sparse …

Crack fault diagnosis in rotor bearing system by transient and study state time domain analysis

RR Mutra, DM Reddy, KB Rao - Measurement, 2025 - Elsevier
Online condition monitoring methodologies for rotor dynamic systems are an emerging trend
and an essential for safe system operation. During operation fatigue cracks in rotor shaft can …

Automatic incipient fault detection and health state assessment of rolling element bearings using pruned exact linear time method

S Buchaiah, P Shakya - Journal of Vibration and Control, 2023 - journals.sagepub.com
Rolling element bearing is a crucial component in rotating machines. The existence of faults
in the bearing causes sudden failures, resulting in catastrophic failure of machines. Incipient …

Crack detection methodology in rotor bearing system by DWT based adaptive neuro-fuzzy inference systems

KB Rao, DM Reddy - Applied Acoustics, 2022 - Elsevier
Data-based machine learning methods in condition monitoring of high-speed rotors are
gaining more importance due to the increase in computational speeds of computers in …

Biologically inspired compound defect detection using a spiking neural network with continuous time–frequency gradients

Z Wang, S Li, J Xuan, T Shi - Advanced Engineering Informatics, 2025 - Elsevier
Compound defects frequently arise, posing serious threats to the reliability and safety of
machines as their structures become increasingly complex. Traditional approaches primarily …

[HTML][HTML] Wavelet-Based Computational Intelligence for Real-Time Anomaly Detection and Fault Isolation in Embedded Systems

J Pacheco, VH Benitez, G Pérez, A Brau - Machines, 2024 - mdpi.com
In today's technologically advanced landscape, sensors feed critical data for accurate
decision-making and actions. Ensuring the integrity and reliability of sensor data is …

[PDF][PDF] Application of Hybrid Fuzzy Technique for Damage Estimation in Structural Member.

S Sahu, SP Jena - Jordan Journal of Mechanical & Industrial …, 2023 - jjmie.hu.edu.jo
Structural health monitoring has become an important research area from last two decades.
This research area works on sensing and actuation and reasoning to find the exact location …