Type
Text
Type
Dissertation
Advisor
Imin Kao. | Jon Longtin | Lei Zuo | Petar Djuric.
Date
2011-05-01
Keywords
Mechanical Engineering -- Electrical Engineering | Fault Detection and Diagnosis, Leakage, Model-based, Pneumatic Actuators, Signal Preprocessing, Vectorized Map
Department
Department of Mechanical Engineering
Language
en_US
Source
This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.
Identifier
http://hdl.handle.net/11401/71770
Publisher
The Graduate School, Stony Brook University: Stony Brook, NY.
Format
application/pdf
Abstract
In pneumatic actuating systems, various kinds of faults are key factors in degrading system performance and increasing air consumption. It is therefore valuable to monitor pneumatic systems and implement predictive maintenance based on detection and diagnosis of fault conditions. This research investigates effects of leakages on a PLC control industrial multi-actuator (9 cylinders) pneumatic system. Leakages at 8 different levels and 9 different places are introduced in experimental tests. The dynamic models of actuators and control valves in pneumatic systems are discussed and extracted as system performance features in a quantitative study of leakage fault. Due to nonlinear properties of compressed air and friction force, derived dynamic model alone is not able to effectively indicate fault location and level with an expected accuracy. On the other hand, new qualitative methods using processed sensory information for recognizing fault and estimating its levels are devised. The reliability of fault detection and diagnosis solution in a pneumatic system offered by the mathematical tools is found to be highly dependent on the successful selection of input features those are extracted from original signals and the relationship between those extracted features. Finally we present the multi-actuator based vectorized map and a diagnostic features search method which are improvements of previous fault analysis research in one-cylinder pneumatic system. The proposed method is also a good asset to pneumatic component selection applications. My research work concludes that it is possible to find suitable and reliable on-line monitoring solutions for multi-actuator pneumatic systems by means of locating and estimating compressed air leakage with a better confidence and a relatively small number of sensor installations.
Recommended Citation
Zhang, Kunbo, "Fault Detection and Diagnosis for Multi-Actuator Pneumatic Systems" (2011). Stony Brook Theses and Dissertations Collection, 2006-2020 (closed to submissions). 975.
https://commons.library.stonybrook.edu/stony-brook-theses-and-dissertations-collection/975