Data-Driven Fault Detection and Reasoning for Industrial Monitoring

This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial proce...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Wang, Jing, Zhou, Jinglin, Chen, Xiaolu
स्वरूप:	Online
भाषा:	अंग्रेज़ी
प्रकाशित:	Springer Nature 2022
विषय:	Multivariate causality analysis Process monitoring Manifold learning Fault diagnosis Data modeling Fault classification Fault reasoning Causal network Probabilistic graphical model Data-driven methods Industrial monitoring Open Access thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering::TJFM1 Robotics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
ऑनलाइन पहुंच:	ONIX_20220114_9789811680441_39
टैग:	टैग जोड़ें कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!