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 | 447 | 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 | 443 | 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 | 304 | 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 | 214 | 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 | 174 | 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 | 170 | 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 | 122 | 2019 |
Combined Probability Approach and Indirect Data-Driven Method for Bearing Degradation Prognostics W Caesarendra, A Widodo, PH Thom, BS Yang, JD Setiawan IEEE TRANSACTIONS ON RELIABILITY 60 (1), 14-20, 2011 | 105 | 2011 |
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 | 91 | 2022 |
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 | 88 | 2017 |
Overview: Types of lower limb exoskeletons DS Pamungkas, W Caesarendra, H Soebakti, R Analia, S Susanto Electronics 8 (11), 1283, 2019 | 85 | 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 | 85 | 2019 |
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 | 83 | 2013 |
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 | 82 | 2019 |
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 | 81 | 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 | 80 | 2015 |
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 | 79 | 2015 |
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 | 75 | 2013 |
Machine condition prognosis based on sequential Monte Carlo method W Caesarendra, G Niu, BS Yang Expert Systems with Applications 37, 2412–2420, 2010 | 70 | 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 | 68 | 2011 |