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Open access 2019

Vibration Analysis of High-Speed Rotating Machinery

The saving grace of industrial systems in the present day is high-speed rotating machinery which encompasses turbines, compressors, generators and aerospace propulsion units. The successful performance of such machines largely remains the responsibility of efficient condition monitoring and fault diagnosis methods. Vib...

Z. Ahmed · 0 citations
Review Open access Jul 2026

Enhanced Rotating Machinery Fault Diagnosis Using Holo-Hilbert Spectrum Analysis and Machine Learning

Reliable fault diagnosis in rotating machinery is challenging due to the nonlinear and non-stationary nature of vibration signals. Although time–frequency analysis is widely used, it cannot capture the cross-scale coupling between amplitude-modulated (AM) and frequency-modulated (FM) components that carry essential dia...

Van-Trung Nguyen, Ba-Tan Le, van-Phuong Dao · 0 citations
Open access Aug 2026

A robust multi-class bearing fault diagnosis framework using envelope analysis, cepstrum prewhitening and machine learning

The proposed framework provides an effective balance between diagnostic accuracy, robustness, interpretability, and computational efficiency, making it a promising solution for intelligent condition monitoring and predictive maintenance of rotating machinery.

Rohit Mishra · 0 citations
Jul 2026

Machine learning-based fault detection in low-speed bearings using a multi-environmental dataset

The near-perfect linear separability indicates that the dataset’s binary, controlled-laboratory labelling rather than intrinsic bearing-degradation physics drives the clean classification, and validation on 500–1000 or more samples with progressive-degradation labelling is essential before any operational claim can be...

P. Pugazhendi, Vinoth Vishwanathan, Aadil Arshad Ferhath et al. · 0 citations
Conference Jul 2026

Real-Time Vibration Detection and Signal Analysis of Machines

This work is a condition-based maintenance low-cost real-time vibration monitoring system of industrial machines based on the ESP32 microcontroller and MPU6050 triaxial accelerometer. The axis-wise and overall RMS vibration amplitude is calculated in the system by time domain processing, which offsets them based on a s...

Rachana Naik, Raghavendra Devaraddi, Vijet Kutte et al. · 0 citations
Open access Jul 2026

Condition-based monitoring of HCCI engines utilizing vibration signals

Marine transportation moves approximately 80% of the world’s cargo volume, playing a vital role in global logistics. Ever-increasing environmental challenges and fuel economy concerns demand efficient, low-emission engine technologies. Homogeneous charge compression ignition (HCCI) offers improved thermal efficiency at...

Abolfazl Hasanzadeh Shadiani, Amir-Hossein Nasajian Moghaddam, A. Shamekhi et al. · 0 citations

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