Wahyu Caesarendra
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Cited by
Intelligent prognostics for battery health monitoring based on sample entropy
A Widodo, MC Shim, W Caesarendra, BS Yang
Expert Systems with Applications 38, 11763–11769, 2011
A review of feature extraction methods in vibration-based condition monitoring and its application for degradation trend estimation of low-speed slew bearing
W Caesarendra, T Tjahjowidodo
Machines 5 (4), 21, 2017
Application of relevance vector machine and logistic regression for machine degradation assessment
W Caesarendra, A Widodo, BS Yang
Mechanical Systems and Signal Processing 24, 1161–1171, 2010
Acoustic emission-based condition monitoring methods: Review and application for low speed slew bearing
W Caesarendra, B Kosasih, AK Tieu, H Zhu, CAS Moodie, Q Zhu
Mechanical Systems and Signal Processing 72, 134-159, 2016
In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm
V Pandiyan, W Caesarendra, T Tjahjowidodo, HH Tan
Journal of manufacturing processes 31, 199-213, 2018
Fault diagnosis of angle grinders and electric impact drills using acoustic signals
A Glowacz, R Tadeusiewicz, S Legutko, W Caesarendra, M Irfan, H Liu, ...
Applied Acoustics 179, 108070, 2021
Detection of deterioration of three-phase induction motor using vibration signals
A Glowacz, W Glowacz, J Kozik, K Piech, M Gutten, W Caesarendra, H Liu, ...
Measurement Science Review 19 (6), 241-249, 2019
Combined Probability Approach and Indirect Data-Driven Method for Bearing Degradation Prognostics
W Caesarendra, A Widodo, PH Thom, BS Yang, JD Setiawan
Condition monitoring of naturally damaged slow speed slewing bearing based on ensemble empirical mode decomposition
W Caesarendra, B Kosasih, K Tieu, C Moodie, BK Choi
Journal of Mechanical Science and Technology 27 (8), 2253-2262, 2013
Predictive modelling and analysis of process parameters on material removal characteristics in abrasive belt grinding process
V Pandiyan, W Caesarendra, T Tjahjowidodo, G Praveen
Applied Sciences 7 (4), 363, 2017
Finger movement pattern recognition method using artificial neural network based on electromyography (EMG) sensor
M Ariyanto, W Caesarendra, KA Mustaqim, M Irfan, JA Pakpahan, ...
2015 International Conference on Automation, Cognitive Science, Optics …, 2015
Acacia Holosericea: An Invasive Species for Bio-char, Bio-oil, and Biogas Production
MS Reza, A Ahmed, W Caesarendra, MS Abu Bakar, S Shams, R Saidur, ...
Bioengineering 6 (2), 33, 2019
In-process virtual verification of weld seam removal in robotic abrasive belt grinding process using deep learning
V Pandiyan, P Murugan, T Tjahjowidodo, W Caesarendra, OM Manyar, ...
Robotics and Computer-Integrated Manufacturing 57, 477-487, 2019
Application of the largest Lyapunov exponent algorithm for feature extraction in low speed slew bearing condition monitoring
W Caesarendra, B Kosasih, AK Tieu, CAS Moodie
Mechanical Systems and Signal Processing 50, 116-138, 2015
Geothermal energy extraction using abandoned oil and gas wells: Techno‐economic and policy review
JC Kurnia, MS Shatri, ZA Putra, J Zaini, W Caesarendra, AP Sasmito
International Journal of Energy Research 46 (1), 28-60, 2022
An automated ECG beat classification system using deep neural networks with an unsupervised feature extraction technique
S Nurmaini, R Umi Partan, W Caesarendra, T Dewi, ...
Applied sciences 9 (14), 2921, 2019
Overview: Types of lower limb exoskeletons
DS Pamungkas, W Caesarendra, H Soebakti, R Analia, S Susanto
Electronics 8 (11), 1283, 2019
An Application of Nonlinear Feature Extraction – A Case Study for Low Speed Slewing Bearing Condition Monitoring and Prognosis
W Caesarendra, B Kosasih, AK Tieu, CAS Moodie
IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM …, 2013
Machine condition prognosis based on sequential Monte Carlo method
W Caesarendra, G Niu, BS Yang
Expert Systems with Applications 37, 2412–2420, 2010
Combination of probability approach and support vector machine towards machine health prognostics
W Caesarendra, A Widodo, BS Yang
Probabilistic Engineering Mechanics 26, 165-173, 2011
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