Fusion-Based Online Identification Technique for Pneumatic Actuator Faults

Navada, Bhagya R.; Venkata, Santhosh Krishna

doi:10.30919/es8d533

Cited by 2 publications

(1 citation statement)

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“…Unlike a controller, this kind of system can take into account numerous parameters of various types in the inferencing process, which results in greater complexity and intricacy of decision-making processes. Navada and Venkata [88] made an attempt to detect and diagnose two pneumatic actuator flaws, including a stem displacement fault and an insufficient supply pressure defect. The fuzzy-based inferencing allowed the identification of an insufficient supply pressure within 1-2 s and a stem displacement fault within 3-6 s. Ali and Frimpong in [89] designed a system for real-time monitoring and predicting the performance of hydro-pneumatic suspension struts in large dump trucks.…”

Section: Fuzzy Diagnosis and Fault Detection Of Pneumatic Systemsmentioning

confidence: 99%

A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems

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2023

Energies

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Fuzzy logic has been developed since the 1960s. Research related to fuzzy logic application in hydraulics and pneumatics is mainly aimed at energy demand reduction and improvement in operational characteristics. This article summarizes the recent achievements in hydraulic and pneumatic fuzzy logic system design. First, the main application areas have been identified, including control and fault diagnosis. The control systems were additionally grouped according to the main objects of study, such as pumps, actuators, proportional valves, etc. Then, the results of the recent research were presented, and the main features of the designed fuzzy logic units were summarized for each group. Particular attention was paid to types of membership functions used for fuzzification and defuzzification, numbers of fuzzy sets defined for input and output signals, types of fuzzy operators, the applied inference algorithm and the defuzzification method. Based on the analysis of the listed parameters, conclusions were formulated regarding advantages, main issues and difficulties, as well as recommended directions for further development.

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Section: Fuzzy Diagnosis and Fault Detection Of Pneumatic Systemsmentioning

confidence: 99%