https://www.ece.lsu.edu/mcu/lawss/add_materials/FaultDetectionPart1.pdf

A Review of Process Fault Detection and Diagnosis Part I : Quantitative Model-Based Methods

https://www.ece.lsu.edu/mcu/lawss/add_materials/FaultDetectionPart2.pdf

A review of process fault detection and diagnosis Part II : Qualitative models and search strategies

https://aiche.onlinelibrary.wiley.com/doi/pdf/10.1002/aic.16489

The promise of artificial intelligence in chemical engineering: Is it here, finally?

Variations of the kanban system: Literature review and classification

Applications of fault detection and diagnosis methods in nuclear power plants: A review

An algorithm for diagnosis of system failures in the chemical process

An improved algorithm for diagnosis of system failures in the chemical process

A graphical approach to the problem of locating the origin of the system failure

The fault diagnosis algorithms using a signed directed graph (SDG) as a model of the system is useful in the real-time diagnosis of failures that occur in chemical processes. The accuracy of the algorithm has been improved so that it can select the candidates that are most likely to be the real origin of failure, utilizing the time when the measured variables begins to show abnormality as the representation of the dynamic characteristic of the measured variable. The accuracy and speed of the improved algorithm have been examined by its application to data obtained in fault diagnosis experiments on tank-pipeline systems. >

Hisayoshi Matsuyama

Papers

An algorithm for diagnosis of system failures in the chemical process

An improved algorithm for diagnosis of system failures in the chemical process

A graphical approach to the problem of locating the origin of the system failure

Fault diagnosis of chemical processes utilizing signed directed graphs-improvement by using temporal information

Fault diagnosis algorithms based on the signed directed graph and its modifications.