Journal ArticleDOI
An algorithm for diagnosis of system failures in the chemical process
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TLDR
In order to eliminate carrying out the complicated and inefficient quantitative simulation, the mathematical model of the system structure to represent the rpopagation of failures is simplified in a qualitative fashion.About:
This article is published in Computers & Chemical Engineering.The article was published on 1979-01-01. It has received 334 citations till now. The article focuses on the topics: Graph (abstract data type) & Graph theory.read more
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A Review of Process Fault Detection and Diagnosis Part I : Quantitative Model-Based Methods
TL;DR: This three part series of papers is to provide a systematic and comparative study of various diagnostic methods from different perspectives and broadly classify fault diagnosis methods into three general categories and review them in three parts.
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A review of process fault detection and diagnosis Part II : Qualitative models and search strategies
TL;DR: This part of the paper reviews qualitative model representations and search strategies used in fault diagnostic systems and broadly classify them as topographic and symptomatic search techniques.
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The promise of artificial intelligence in chemical engineering: Is it here, finally?
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Applications of fault detection and diagnosis methods in nuclear power plants: A review
Jianping Ma,Jin Jiang,Jin Jiang +2 more
TL;DR: Popularity of FDD applications in NPPs will continuously increase as FDD theories advance and the safety and reliability requirement for NPP tightens.
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Challenges in the industrial applications of fault diagnostic systems
TL;DR: It is argued that a hybrid blackboard-based framework utilizing collective problem solving is the most promising approach and the efforts of the ASM consortium in pursuing the implementation of the state-of-the-art technologies at plant sites are described.
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Journal ArticleDOI
Depth-First Search and Linear Graph Algorithms
TL;DR: The value of depth-first search or “backtracking” as a technique for solving problems is illustrated by two examples of an improved version of an algorithm for finding the strongly connected components of a directed graph.
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