다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기
Shock and vibration, v.2016, 2016년, pp.1 - 12
Liu, Hongmei (School of Reliability and Systems Engineering, Beihang University, Beijing, China) , Li, Lianfeng (School of Reliability and Systems Engineering, Beihang University, Beijing, China) , Ma, Jian (School of Reliability and Systems Engineering, Beihang University, Beijing, China)
AI-Helper
The main challenge of fault diagnosis lies in finding good fault features. A deep learning network has the ability to automatically learn good characteristics from input data in an unsupervised fashion, and its unique layer-wise pretraining and fine-tuning using the backpropagation strategy can solv...
SHIBATA, K., TAKAHASHI, A., SHIRAI, T.. FAULT DIAGNOSIS OF ROTATING MACHINERY THROUGH VISUALISATION OF SOUND SIGNALS. Mechanical systems and signal processing, vol.14, no.2, 229-241.
10.1016/s0963-8695(00)00025-6
10.1016/s0888-3270(03)00099-2
Liu, W.Y., Zhang, W.H., Han, J.G., Wang, G.F.. A new wind turbine fault diagnosis method based on the local mean decomposition. Renewable energy, vol.48, 411-415.
Liu, Hongmei, Wang, Xuan, Lu, Chen. Rolling bearing fault diagnosis based on LCD–TEO and multifractal detrended fluctuation analysis. Mechanical systems and signal processing, vol.60, 273-288.
Sun, Weixiang, Chen, Jin, Li, Jiaqing. Decision tree and PCA-based fault diagnosis of rotating machinery. Mechanical systems and signal processing, vol.21, no.3, 1300-1317.
Choi, Sang Wook, Lee, Changkyu, Lee, Jong-Min, Park, Jin Hyun, Lee, In-Beum. Fault detection and identification of nonlinear processes based on kernel PCA. Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society, vol.75, no.1, 55-67.
Li, Zhixiong, Yan, Xinping, Yuan, Chengqing, Zhao, Jiangbin, Peng, Zhongxiao. A Fault Diagnosis Approach for Gears Using Multidimensional Features and Intelligent Classifier. Noise & vibration worldwide, vol.41, no.10, 76-86.
Chinese Journal of Scientific Instrument 31 2 325 2010
10.4028/www.scientific.net/AMM.34-35.1233
Chen, Changzheng, Mo, Changtao. A method for intelligent fault diagnosis of rotating machinery. Digital signal processing, vol.14, no.3, 203-217.
Hinton, G. E., Salakhutdinov, R. R.. Reducing the Dimensionality of Data with Neural Networks. Science, vol.313, no.5786, 504-507.
Kıymık, M.Kemal, Güler, İnan, Dizibüyük, Alper, Akın, Mehmet. Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application. Computers in biology and medicine, vol.35, no.7, 603-616.
10.1016/s0378-7796(02)00035-4
Deng, L., Kheirallah, I.. Dynamic formant tracking of noisy speech using temporal analysis on outputs from a nonlinear cochlear model. IEEE transactions on bio-medical engineering, vol.40, no.5, 456-467.
Rumelhart, David E., Hinton, Geoffrey E., Williams, Ronald J.. Learning representations by back-propagating errors. Nature, vol.323, no.6088, 533-536.
Large-Scale Kernel Machines 34 5 1 2007
The Journal of Machine Learning Research 10 1 2009
Duan, K., Keerthi, S. S., Chu, W., Shevade, S. K., Poo, A. N.. Multi-category Classification by Soft-Max Combination of Binary Classifiers. Lecture notes in computer science, vol.2709, 125-134.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.