一种新的基于核密度加权支持向量数据描述的早期故障检测与诊断方案——在DAADICS基准过程中的应用

IF 0.6 4区 工程技术 Q4 ENGINEERING, CHEMICAL Journal of Chemical Engineering of Japan Pub Date : 2023-05-09 DOI:10.1080/00219592.2023.2204129
Cheng Zhang, Haidi Yi, Yuan Li
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A Novel Incipient Fault Detection and Diagnosis Scheme Based on Kernel Density Weighting Support Vector Data Description: Application on the DAMADICS Benchmark Process
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来源期刊
Journal of Chemical Engineering of Japan
Journal of Chemical Engineering of Japan 工程技术-工程:化工
CiteScore
1.70
自引率
12.50%
发文量
51
审稿时长
1.9 months
期刊介绍: The Journal of Chemical Engineering of Japan (JCEJ) is a monthly publication in English of the Society of Chemical Engineers, Japan. The first issue appeared in 1968. JCEJ publishes timely original research in the broad field of chemical engineering ranging from fundamental principles to practical applications. JCEJ is an international research journal and invites your contributions and subscriptions. All areas of chemical engineering are covered, including: Physical Properties and Physical Chemistry, Transport Phenomena and Fluid Engineering, Particle Engineering, Separation Engineering, Thermal Engineering, Chemical Reaction Engineering, Process Systems Engineering and Safety, Biochemical, Food and Medical Engineering, Micro and Nano Systems, Materials Engineering and Interfacial Phenomena, Energy, Environment, and Engineering Education.
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