𝔖 Bobbio Scriptorium

✦ LIBER ✦

Incipient fault detection and diagnosis based on Kullback–Leibler divergence using Principal Component Analysis: Part I

✍ Scribed by Harmouche, Jinane; Delpha, Claude; Diallo, Demba

Book ID: 122874521
Publisher: Elsevier Science
Year: 2014
Tongue: English
Weight: 683 KB
Volume: 94
Category: Article
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2013.05.018

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Fault detection and isolation for dynami

Fault detection and isolation for dynamic processes using recursive principal component analysis (PCA) based on filtering of signals

✍ Jyh-Cheng Jeng; Cheng-Chih Li; Hsiao-Ping Huang 📂 Article 📅 2007 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 159 KB 👁 2 views

[IEEE 2006 International Conference on M

[IEEE 2006 International Conference on Machine Learning and Cybernetics - Dalian, China (2006.08.13-2006.08.16)] 2006 International Conference on Machine Learning and Cybernetics - Process Fault Detection and Diagnosis Based on Principal Component Analysis

✍ He, Tao; Xie, Wei-rong; Wu, Qing-hua; Shi, Tie-lin 📂 Article 📅 2006 🏛 IEEE 🌐 English ⚖ 355 KB

[IEEE 2012 7th IEEE Conference on Indust

[IEEE 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA) - Singapore, Singapore (2012.07.18-2012.07.20)] 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA) - Fault detection and diagnosis for spacecraft using principal component analysis and support vector machines

✍ Yu Gao, ; Tianshe Yang, ; Nan Xing, ; Minqiang Xu, 📂 Article 📅 2012 🏛 IEEE ⚖ 208 KB