A Model of Human Fault Detection for Complex Dynamic Processes

1981 ◽  
pp. 171-183 ◽  
Author(s):  
Renwick E. Curry
Keyword(s):  
Fault Detection ◽  
Dynamic Processes ◽  
Complex Dynamic

scholarly journals Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Jinna Li ◽  
Yuan Li ◽  
Haibin Yu ◽  
Yanhong Xie ◽  
Cheng Zhang
Keyword(s):  
Fault Detection ◽  
Nonlinear Dynamic ◽  
Control Limit ◽  
Detection Technique ◽  
Dynamic Processes ◽  
K Nearest Neighbor ◽  
Complex Dynamic ◽  
Data Set ◽  
Detection Scheme ◽  
The Impact

A novel fault detection technique is proposed to explicitly account for the nonlinear, dynamic, and multimodal problems existed in the practical and complex dynamic processes. Just-in-time (JIT) detection method and k-nearest neighbor (KNN) rule-based statistical process control (SPC) approach are integrated to construct a flexible and adaptive detection scheme for the control process with nonlinear, dynamic, and multimodal cases. Mahalanobis distance, representing the correlation among samples, is used to simplify and update the raw data set, which is the first merit in this paper. Based on it, the control limit is computed in terms of both KNN rule and SPC method, such that we can identify whether the current data is normal or not by online approach. Noted that the control limit obtained changes with updating database such that an adaptive fault detection technique that can effectively eliminate the impact of data drift and shift on the performance of detection process is obtained, which is the second merit in this paper. The efficiency of the developed method is demonstrated by the numerical examples and an industrial case.

Dynamic kriging based fault detection and diagnosis approach for nonlinear noisy dynamic processes

2017 ◽  
Vol 106 ◽  
pp. 758-776 ◽  
Author(s):  
Ahmed Shokry ◽  
Mohammad Hamed Ardakani ◽  
Gerard Escudero ◽  
Moisès Graells ◽  
Antonio Espuña
Keyword(s):  
Fault Detection ◽  
Fault Detection And Diagnosis ◽  
Dynamic Processes ◽  
Detection And Diagnosis ◽  
Dynamic Kriging ◽  
Diagnosis Approach

Operational Reliability Improvement of Plants Through Intelligent Fault Detection and Diagnosis

2003 ◽  
Author(s):  
E. Ricky Odoom
Keyword(s):  
Fault Detection ◽  
Intelligent Systems ◽  
Operational Reliability ◽  
Fault Detection And Diagnosis ◽  
Complex Dynamic ◽  
Artificial Intelligent ◽  
Reliability Improvement ◽  
Process Plants ◽  
Basic Concepts ◽  
Detection And Diagnosis

Real-time Fault Detection and Diagnosis of modern dynamic process plants are continuously receiving increasing attention both theoretically and practically. In recent years, attempts have been made to apply Artificial Intelligence techniques to the Fault Detection Diagnosis task for improving the operational reliability of complex dynamic plants. The aim of this paper is to discuss the basic concepts, issues and tools of some of the emerging intelligence technologies for Fault Detection and Diagnosis schemes. The emphasis is given to the methods, which are based on Artificial Intelligent systems and which are appropriate for diagnosing faults in complex dynamic plants.

Recursive Innovational Component Statistical Analysis for Fault Detection in Dynamic Processes

2021 ◽  
Author(s):  
Yabin Si ◽  
Xin Ma ◽  
Bing Li ◽  
Yaohua Tang ◽  
Youqing Wang
Keyword(s):  
Statistical Analysis ◽  
Fault Detection ◽  
Dynamic Processes

Quality-Related Fault Detection in Industrial Multimode Dynamic Processes

2014 ◽  
Vol 61 (11) ◽  
pp. 6446-6453 ◽  
Author(s):  
Adel Haghani ◽  
Torsten Jeinsch ◽  
Steven X. Ding
Keyword(s):  
Fault Detection ◽  
Dynamic Processes
Sign in / Sign up

Export Citation Format

Share Document