Process Fault Diagnosis

The pivotal component of many engineering tasks—e.g., process fault diagnosis and product quality control—is the recognition of certain distinguishing temporal patterns (i.e., features) during the operation of the... 

Several kinds of failures may compromise safety and productivity of industrial processes. Indeed, faults may affect the efficiency of the process (e.g., lower product quality) or, in the worst scenarios, could lead to fatal accidents (e.g., temperature runaway) with injuries to personnel, environmental pollution, and equipments damage. In the chemical process fault diagnosis area, the term fault is generally defined as a departure from an acceptable range of an observed variable or a parameter. Fault diagnosis (FD) consists of three main tasks fault detection, i.e., the detection of the occurrence of a fault, fault isolation, i.e., the determination of the type and/or the location of the fault, and fault identification, i.e., the determination of the fault profile. After a fault has been detected, controller reconfiguration for the self-correction of the fault effects (fault accommodation) can be achieved in some cases. 

V Venkatasubramanian and K Chan. A neural network methodology for process fault diagnosis. AIChE J., 35(12) 1993-2002, 1989. 

An Expert System Approach to On-Line Optimization An Expert System for Process Control Toubleshooting (Prolog) Object-Oriented Integration in Process Engineering Computation Dynamic Simulation in the Construction of Expert Systems for Process Fault Diagnosis... 

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