Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review

Table 1

List of review articles or survey regarding vibration analysis for machine monitoring and diagnosis.

Authors	Scope	Comments
Vishwakarma et al. [12]	Presented a review of some vibration feature extraction methods applied to different types of rotating machines	No discussion on the data acquisition system and AI-based fault recognition techniques
Kumar et al. [3]	Reviewed various techniques including the AI methods used for fault diagnosis based on vibration analysis methods	No discussion on the data acquisition system and the comparison between different feature extraction and fault recognition methods are not presented
Boudiaf et al. [13]	Presented the vibration analysis techniques in terms of their capabilities, advantages, and disadvantages in monitoring rolling element bearings	Only discussed four types of vibration analysis techniques
Aherwar [14]	Discussed a variety of vibration analysis approaches in diagnosing the rotating machinery including the AI methods	No discussion on the data acquisition system and the review was conducted in 2012; thus, it lacks the latest AI methods such as deep learning
Sait and Sharaf-Eldeen [15]	Presented a review of vibration-based analysis damage detection techniques to monitor gearbox condition	No discussion on the data acquisition system, frequency domain methods, and AI techniques
Sadeghi et al. [16]	Discussed on the fault diagnosis in large electrical machines using vibration signals	Most of the vibration analysis techniques are not discussed in this article