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Achmad Widodo
Achmad Widodo
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Título
Citado por
Citado por
Año
Support vector machine in machine condition monitoring and fault diagnosis
A Widodo, BS Yang
Mechanical systems and signal processing 21 (6), 2560-2574, 2007
14692007
Combination of independent component analysis and support vector machines for intelligent faults diagnosis of induction motors
A Widodo, BS Yang, T Han
Expert systems with applications 32 (2), 299-312, 2007
3812007
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
3502011
Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine
A Widodo, EY Kim, JD Son, BS Yang, ACC Tan, DS Gu, BK Choi, ...
Expert systems with applications 36 (3), 7252-7261, 2009
3502009
Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors
A Widodo, BS Yang
Expert Systems with Applications 33 (1), 241-250, 2007
3502007
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
2662010
Wavelet support vector machine for induction machine fault diagnosis based on transient current signal
A Widodo, BS Yang
Expert Systems with Applications 35 (1-2), 307-316, 2008
1612008
Machine health prognostics using survival probability and support vector machine
A Widodo, BS Yang
Expert Systems with Applications 38 (7), 8430-8437, 2011
1282011
Application of relevance vector machine and survival probability to machine degradation assessment
A Widodo, BS Yang
Expert Systems with Applications 38 (3), 2592-2599, 2011
1122011
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
922011
Decision-level fusion based on wavelet decomposition for induction motor fault diagnosis using transient current signal
G Niu, A Widodo, JD Son, BS Yang, DH Hwang, DS Kang
Expert Systems with Applications 35 (3), 918-928, 2008
842008
Intelligent fault diagnosis system of induction motor based on transient current signal
A Widodo, BS Yang, DS Gu, BK Choi
Mechatronics 19 (5), 680-689, 2009
772009
Introduction of intelligent machine fault diagnosis and prognosis
o-Suk Yang, A Widodo
Nova Science Publishers, Incorporated, 2010
602010
Combination of probability approach and support vector machine towards machine health prognostics
W Caesarendra, A Widodo, BS Yang
Probabilistic Engineering Mechanics 26 (2), 165-173, 2011
592011
Support vector machine for machine fault diagnosis and prognosis
BS Yang, A Widodo
journal of system design and dynamics 2 (1), 12-23, 2008
562008
Fault diagnosis of low speed bearing based on acoustic emission signal and multi-class relevance vector machine
A Widodo, BS Yang, EY Kim, ACC Tan, J Mathew
Nondestructive Testing and Evaluation 24 (4), 313-328, 2009
542009
A comparison of classifier performance for fault diagnosis of induction motor using multi-type signals
G Niu, JD Son, A Widodo, BS Yang, DH Hwang, DS Kang
Structural Health Monitoring 6 (3), 215-229, 2007
452007
Degradation trend estimation and prognosis of large low speed slewing bearing lifetime
BY Kosasih, W Caesarendra, K Tieu, A Widodo, CAS Moodie, AK Tieu
Applied mechanics and materials 493, 343-348, 2014
352014
Identification of a machine tool spindle critical frequency through modal and imbalance response analysis
K Jauhari, A Widodo, I Haryanto
Peer Review dll, 2016
302016
Algoritma K-Means Clustering Untuk Pengelompokan Ayat Al Quran Pada Terjemahan Bahasa Indonesia
M Robani, A Widodo
Jurnal Sistem Informasi Bisnis 6 (2), 164, 2016
292016
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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