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

2020 ◽  
Vol 77 (2) ◽  
pp. 102-129
Author(s):  
Bhagya R Navada ◽  
K. V Santhosh
Keyword(s):  
Detection Rate ◽  
Control Valve ◽  
Fault Detection And Diagnosis ◽  
Pneumatic Actuator ◽  
Industrial Processes ◽  
True Detection ◽  
Valve Stiction ◽  
Detection And Diagnosis ◽  
Production Output ◽  
Future Loss

The present civilization highly depends on industrial products and hence there is an increased demand for the same. Therefore, each industry is trying to increase its production output without hindering the quality. Maintenance of plant health is essential to improve the production rate without any loss. Industrial processes require monitoring of every element as their consistent behavior is a fundamental concern. Any deviation in the working of these components may alter the quality of the end product, causing a huge loss for the industry. Therefore, monitoring and finding the root cause for irregular behavior of industrial processes is a requisite for avoiding any future loss. In this paper, an attempt is made to present types of faults, types of pneumatic actuator faults, and different techniques used for the detection and isolation of faults. Simulation work is carried out to generate stiction behavior in the control valve using the Choudhury stiction model. Valve stiction behavior for different values of stick band and jump values are discussed in this paper. A comparison of several techniques used for the detection of faults based on two performance indices namely true detection rate and false alarm rate has been given at the end of this paper. From these techniques, it is observed that these indices are interdependent, such that an increase in the detection rate increases the false detection rate and increases detection time.

scholarly journals A Review on Fault Detection and Process Diagnostics in Industrial Processes

Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1123 ◽  
Author(s):  
You-Jin Park ◽  
Shu-Kai S. Fan ◽  
Chia-Yu Hsu
Keyword(s):  
Fault Detection ◽  
Process Variable ◽  
Fault Detection And Diagnosis ◽  
Industrial Processes ◽  
Proper Action ◽  
Process Diagnostics ◽  
Underlying Process ◽  
Process Dynamics ◽  
Industrial Sectors ◽  
Detection And Diagnosis

The main roles of fault detection and diagnosis (FDD) for industrial processes are to make an effective indicator which can identify faulty status of a process and then to take a proper action against a future failure or unfavorable accidents. In order to enhance many process performances (e.g., quality and throughput), FDD has attracted great attention from various industrial sectors. Many traditional FDD techniques have been developed for checking the existence of a trend or pattern in the process or whether a certain process variable behaves normally or not. However, they might fail to produce several hidden characteristics of the process or fail to discover the faults in processes due to underlying process dynamics. In this paper, we present current research and developments of FDD approaches for process monitoring as well as a broad literature review of many useful FDD approaches.

scholarly journals Condition monitoring of railway pantographs to achieve fault detection and fault diagnosis

2018 ◽  
Vol 234 (3) ◽  
pp. 289-300 ◽  
Author(s):  
Tingyu Xin ◽  
Clive Roberts ◽  
Paul Weston ◽  
Edward Stewart
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Frequency Response ◽  
Condition Monitoring ◽  
Fault Detection And Diagnosis ◽  
Pneumatic Actuator ◽  
Rolling Stock ◽  
Test Rig ◽  
Response Test ◽  
Detection And Diagnosis

Railway pantographs are used around the world for collecting electrical energy to power railway vehicles from the overhead catenary. Faults in the pantograph system degrade the quality of the contact between the pantograph and catenary and reduce the reliability of railway operations. To maintain the pantographs in a good working condition, regular inspection tasks are carried out at rolling stock depots. The current pantograph inspections, in general, are only effective for the detection of major faults, providing limited incipient fault detection or fault diagnosis capabilities. Condition monitoring of pantographs has the potential to improve pantograph performance and reduce maintenance costs. As a first step in the realisation of practical pantograph condition monitoring, a laboratory-based pantograph test rig has been developed to gain an understanding of pantograph dynamic behaviours, particularly when incipient faults are present. In the first work of this kind, dynamic response data have been acquired from a number of pantographs that have allowed fault detection and diagnosis algorithms to be developed and verified. Three tests have been developed: (i) a hysteresis test that uses different excitation speeds, (ii) a frequency response test that uses different excitation frequencies, and (iii) a novel changing gradient test. Verification tests indicate that the hysteresis test is effective in detecting and diagnosing pneumatic actuator and elbow joint faults. The frequency response test is able to monitor the overall degradation in the pantograph. The changing gradient test provides fault detection and diagnosis in the pantograph head suspension and pneumatic actuator. The test rig and fault detection and diagnosis algorithms are now being developed into a depot-based prototype together with a number of industrial partners.

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