Table 11.

Papers selected for reviewing FD in belt conveyor idlers.

References	Year	Publication Venue	Publication Type	Method	Signal Type
Bortnowski et al. [44]	2022	Eksploatacja I Niezawodnosc-Maintenance and Reliability.	Journal.	LSTM.	Vibration signal
Ravikumar et al. [48]	2021	Advances in Smart Grid Technology.	Book Chapter.	Random Forest Algorithm.
Ravikumar at al. [45]	2019	Measurement.	Journal.	k-star algorithm.
Ravikumar at al. [47]	2014	International Conference on Computational Intelligence and Advanced Manufacturing.	Conference.	SVM.
Li et al. [4]	2013	Advances in Mechanical Engineering.	Journal.	Wavelet Packet Decomposition and Support Vector Machine.
Wijaya et al. [12]	2022	Measurement.	Journal.	Iforest.
Ravikumar et al. [46]	2018	Emerging trends in engineering, science, and technology (ICETEST).	Book section.	Artificial neural network and Naïve Bayes algorithm.
Muralidharan et al. [58]	2014	Measurement.	Journal.	Decision tree.
Wijaya et al. [60]	2021	Structural Control and Health Monitoring.	Journal.	Wavelet transform and artificial neural network.
Roos and Heyns [23]	2021	Mining and Mineral Engineering.	Journal.	Wavelet package decomposition and artificial intelligence, SVM.
Ericeira et al. [50]	2020	International Joint Conference on Neural Networks (IJCNN).	Conference.	RF and MLP.	Acoustic signal
Liu et al. [8]	2020	Advanced Powder Technology.	Journal.	Decision tree Gradient boosting.
Yang et al. [40]	2020	Neurocomputing.	Journal.	SVM, KNN, ANN, CNN.
Peng et al. [24]	2020	Control Engineering Practice.	Journal.	CNN.
Xiao-ping Jiang and Guan qiang Cao [41]	2015	International Conference on Natural Computation (ICNC).	Journal.	Neural network.
Rocha et al. [59]	2021	Journal of Intelligent and Robotic Systems.	Journal.	RF.