Preface of the fault detection, supervision and safety for chemical processes
Author:
Affiliation:
1. College of Electrical Engineering and Automation; Shandong University of Science and Technology; Qingdao China
2. Department of Automation; Tsinghua University; Beijing China
Publisher
Wiley
Subject
General Chemical Engineering
Reference10 articles.
1. Online incipient fault diagnosis based on Kullback-Leibler divergence and recursive principle component analysis
2. Diagnosis of sensor precision degradation using Kullback-Leibler divergence
3. Modified partial least square for diagnosing key-performance-indicator-related faults
4. Covariance eigenpairs neighbour distance for fault detection in chemical processes
5. Fault diagnosis based on the integration of exponential discriminant analysis and local linear embedding
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