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Wahyu Caesarendra
Wahyu Caesarendra
Department of Mechanical and Mechatronics Engineering, Curtin University Malaysia
Verified email at curtin.edu.my
Title
Cited by
Cited by
Year
Intelligent prognostics for battery health monitoring based on sample entropy
A Widodo, MC Shim, W Caesarendra, BS Yang
Expert Systems with Applications 38 (9), 11763-11769, 2011
4692011
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
4622017
Application of relevance vector machine and logistic regression for machine degradation assessment
W Caesarendra, A Widodo, BS Yang
Mechanical Systems and Signal Processing 24 (4), 1161-1171, 2010
3082010
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
2262016
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
1892018
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
1802021
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
1262019
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
1052011
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
1012022
Overview: Types of lower limb exoskeletons
DS Pamungkas, W Caesarendra, H Soebakti, R Analia, S Susanto
Electronics 8 (11), 1283, 2019
962019
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
922019
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
902019
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
872019
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
862015
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
842017
Condition monitoring of naturally damaged slow speed slewing bearing based on ensemble empirical mode decomposition
W Caesarendra, PB Kosasih, AK Tieu, CAS Moodie, BK Choi
Journal of Mechanical Science and Technology 27, 2253-2262, 2013
842013
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
832015
An application of nonlinear feature extraction-A case study for low speed slewing bearing condition monitoring and prognosis
W Caesarendra, B Kosasih, K Tieu, CAS Moodie
2013 IEEE/aSME international conference on advanced intelligent mechatronics …, 2013
792013
Classification of bird sounds as an early warning method of forest fires using Convolutional Neural Network (CNN) algorithm
SDH Permana, G Saputra, B Arifitama, W Caesarendra, R Rahim
Journal of King Saud University-Computer and Information Sciences 34 (7 …, 2022
782022
An improved performance of deep learning based on convolution neural network to classify the hand motion by evaluating hyper parameter
T Triwiyanto, IPA Pawana, MH Purnomo
IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (7 …, 2020
712020
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