Review Article
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 |
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