Fault Detection and Isolation Scheme for Pneumatic Actuator Using Sugeno-Type Fuzzy Inference System

Abstract

Fault diagnosis is an ongoing significant research field due to the constantly increasing need for maintain ability, reliability and safety of industrial plants. The pneumatic actuators are installed in harsh environment: high temperature, pressure, aggressive media and vibration, etc. This influenced the pneumatic actuator predicted life time. The failures in pneumatic actuator cause forces the installation shut down and may also determine the final quality of the product. A fuzzy logic based approach is implemented to detect the external faults such as Actuator vent blockage, Diaphragm leakage and in correct supply pressure. The fuzzy system is able to identify the actuator condition with high accuracy by monitoring five parameters. The parameter selection is based on the committee of DAMADICS (Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems). The Fuzzy Inference Systems were implemented in real time using MATLAB and the results prove that the system can effectively classify all the types of external faults.

Is Fault Detection and Diagnosis in Pneumatic Actuator A Topic of Concern?

“…All control valve faults Adaptive Neurofuzzy inference system Prabakaran et al, [53] The fault detection algorithm for three actuator faults was detailed.…”

“…Incorrect supply pressure, diaphragm leakage and actuator vent blockage Fuzzy logic [53], neural network algorithm [54] and SOM [55] Ahmed Hafaifa et al, [56] ANN was trained with system inputs and outputs using an adaptive supervised learning method.…”

“…Comparison of techniques used for the detection of insufficient supply pressure, vent blockage, and diaphragm perforation faults Adaptive Neuro-Fuzzy [52] Fuzzy Logic [53] Radial Basis Neural Network [54] Self-Organizing Map [55] No. From the aforementioned literature, it is observed that most researchers have reported the detection of only a few faults like abrupt faults, incipient faults, control valve faults, and stiction detection.…”