A survey of fault diagnosis and fault-tolerant techniques—Part I: Fault diagnosis with model-based and signal-based approaches

Z Gao, C Cecati, SX Ding - IEEE transactions on industrial …, 2015 - ieeexplore.ieee.org
With the continuous increase in complexity and expense of industrial systems, there is less
tolerance for performance degradation, productivity decrease, and safety hazards, which …

A review of process fault detection and diagnosis: Part III: Process history based methods

V Venkatasubramanian, R Rengaswamy… - Computers & chemical …, 2003 - Elsevier
In this final part, we discuss fault diagnosis methods that are based on historic process
knowledge. We also compare and evaluate the various methodologies reviewed in this …

Process fault diagnosis with model-and knowledge-based approaches: Advances and opportunities

W Li, H Li, S Gu, T Chen - Control Engineering Practice, 2020 - Elsevier
Fault diagnosis plays a vital role in ensuring safe and efficient operation of modern process
plants. Despite the encouraging progress in its research, developing a reliable and …

Real-time knowledge-based systems

TJ Laffey, PA Cox, JL Schmidt, SM Kao, JY Readk - AI magazine, 1988 - ojs.aaai.org
Real-time domains present a new and challenging environment for the application of
knowledge-based problem-solving techniques. However, a substantial amount of research …

Model-based reasoning in diagnostic expert systems for chemical process plants

SH Rich, V Venkatasubramanian - Computers & Chemical Engineering, 1987 - Elsevier
A prototype expert system, called MODEX, for locating the cause (s) of a set of abnormalities
in a chemical process id described. We discuss a methodology that aids the developement …

Malfunction diagnosis using quantitative models with non‐boolean reasoning in expert systems

MA Kramer - AIChE Journal, 1987 - Wiley Online Library
An approach to chemical plant fault diagnosis is presented that utilizes patterns of violation
and satisfaction of the quantitative constraints governing the process. Process knowledge …

A novel IoT-based framework with Prognostics and Health Management and short term fire risk assessment in smart firefighting system

Y Wang, R Zheng, L Hou, M Li, W Li - Journal of Building Engineering, 2023 - Elsevier
In recent years,“smart firefighting” becomes a popular research topic which aims at
improving the efficiency of fire protection and safety. However, in existing smart firefighting …

Computational complexity issues in operative diagnosis of graph-based systems

NSV Rao - IEEE Transactions on Computers, 1993 - ieeexplore.ieee.org
Systems that can be modeled as graphs, such that nodes represent the components and the
edges represent the fault propagation between the components, are considered. Some …

On-line hazard aversion and fault diagnosis in chemical processes: the digraph+ fault-tree method

NH Ulerich, GJ Powers - IEEE Transactions on Reliability, 1988 - ieeexplore.ieee.org
A method for online hazard aversion and fault diagnosis in chemical processes is
developed. The method uses a directed graph model of process operation and control. Fault …

[图书][B] Distributed computer control systems in industrial automation

VP Bhatkar - 2017 - taylorfrancis.com
A reference guide for professionals or text for graduate and postgraduate students, this
volume emphasizes practical designs and applications of distributed computer control …