Wahyu Caesarendra
Wahyu Caesarendra
Mechanical Engineering Department, Diponegoro University and Faculty of Integrated Technologies
Email yang diverifikasi di ubd.edu.bn - Beranda
JudulDikutip olehTahun
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
2062011
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
1832010
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
622011
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
522016
Machine condition prognosis based on sequential Monte Carlo method
W Caesarendra, G Niu, BS Yang
Expert Systems with Applications 37, 2412–2420, 2010
502010
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
482013
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
412017
Circular domain features based condition monitoring for low speed slewing bearing
W Caesarendra, B Kosasih, AK Tieu, CAS Moodie
Mechanical Systems and Signal Processing 45 (1), 114-138, 2014
382014
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
382011
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
342015
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
272015
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
202013
Degradation Trend Estimation and Prognosis of Large Low Speed Slewing Bearing Lifetime
P Kosasih, W Caesarendra, AK Tieu, A Widodo, CAS Moodie
Applied Mechanics and Materials 493, 343-348, 2014
192014
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
142018
Machine Degradation Prognostic based on RVM and ARMA/GARCH Model for Bearing Fault Simulated Data
W Caesarendra, A Widodo, PH Thom, BS Yang
Prognostics and Health Management Conference, 1-6, 2010
142010
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
102017
Condition monitoring of low speed slewing bearings based on ensemble empirical mode decomposition method
W Caesarendra, JH Park, PB Kosasih, BK Choi
Transactions of the Korean Society for Noise and Vibration Engineering 23 (2 …, 2013
92013
Adaptive neuro-fuzzy inference system for deburring stage classification and prediction for indirect quality monitoring
W Caesarendra, T Wijaya, T Tjahjowidodo, BK Pappachan, A Wee, ...
Applied Soft Computing 72, 565-578, 2018
82018
Integrated condition monitoring and prognosis method for incipient defect detection and remaining life prediction of low speed slew bearings
W Caesarendra, T Tjahjowidodo, B Kosasih, AK Tieu
Machines 5 (2), 11, 2017
72017
A classification method of hand EMG signals based on principal component analysis and artificial neural network
W Caesarendra, SU Lekson, KA Mustaqim, AR Winoto, A Widyotriatmo
2016 international conference on instrumentation, control and automation …, 2016
72016
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