Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review

Table 2

The research questions aimed to be answered in this study.

RQ		Motivation
RQ 1: what are the current and future instruments used for the machine’s vibration data acquisition process?		The answer to this question helps to determine the best instrument to be applied for respective vibration analysis.
RQ 2: what are the most used vibration signal processing techniques and the comparison between them including the advantages and limitations of each method?		Answering this question can help to determine the most applied techniques and identifying the benefits and drawbacks of each vibration’s signal processing methods.
RQ 3: what are the latest AI techniques used in machine vibration monitoring and diagnosis, and how does it perform compared to other widely used AI methods?	By answering this question, the latest AI method applied in machine vibration monitoring and diagnosis can be identified and the performance can be compared with the widely used AI methods.
RQ 4: what are the future directions regarding vibration analysis for machine monitoring and diagnosis?	The answer to this question can help new researchers fill the research gap regarding this area.
RQ 5: what are the most influential articles for each method?	Answering this question can help the readers identify the articles that can be used as references for their research.