Fault detection and control in superheater using electronic simulator

2010 ◽  
Author(s):  
C. Maican ◽  
M. Vinatoru ◽  
G. Canureci
Keyword(s):  
Fault Detection ◽  
Electronic Simulator ◽  
And Control

An Efficient Method for Motor Protection System Control Using Labview

2014 ◽  
Vol 4 (1) ◽  
pp. 43-50
Author(s):  
Abhay Kumar Singh ◽  
Shabbiruddin
Keyword(s):  
Fault Detection ◽  
Efficient Method ◽  
Motor System ◽  
Research Work ◽  
Protection System ◽  
System Control ◽  
Large Motor ◽  
And Control ◽  
Motor Protection ◽  
Financial Losses

The need for a motor protection system can be well understood by the fact that motors are integral device in any of the present day industries. Malfunctioning or any other faults in motor can halt the functioning of such industries. This can cause huge financial losses. So an efficient motor protection system is necessary. The present research work deals with the application of Labview for motor protection system, which can constantly monitor and control, a large motor system. This paper presents a highly reliable approach towards protection of commonly used motors. Here we deal with different kinds of motor faults and detection of all these faults using NI LABVIEW™. The present paper will not only be helpful for industrial purposes but it can also be helpful for students to understand motor fault detection. The LABVIEW has been successfully applied to make an efficient motor protection system.

Simultaneous Fault Detection and Control for Continuous-Time Switched T-S Fuzzy Systems with State Jumps

2021 ◽  
Author(s):  
Ayyoub Ait Ladel ◽  
Abdellah Benzaouia ◽  
Rachid Outbib ◽  
Mustapha Ouladsine
Keyword(s):  
Fault Detection ◽  
Fuzzy Systems ◽  
Degrees Of Freedom ◽  
Average Dwell Time ◽  
Single Step ◽  
Linear Matrix ◽  
Matrix Inequalities ◽  
Robust Detection ◽  
And Control ◽  
Detector Design

Abstract This paper addresses the simultaneous fault detection and control (SFDC) issue for switched T-S fuzzy systems with state jumps. The main objective is to design robust detection filters and observer-based controllers to stabilize this system class and, at the same time, detect the presence of faults. Less conservative stability conditions are developed, applying the mode-dependent average dwell time (MDADT) concept, the robust H_{\infty} approach, and the piecewise Lyapunov function (PLF) technique. Based on these conditions, the integrated controller and detector design is formalized in the form of linear matrix inequalities (LMI) instead of bilinear matrix inequalities (BMI). The proposed LMIs determine the controller/ detector gains simultaneously in a single step, thus offering more degrees of freedom in the design. Finally, a numerical example and two real systems examples are studied to prove the applicability and effectiveness of the obtained results.

scholarly journals Fault Detection and Diagnosis of Air Handling Unit: A Review

2019 ◽  
Vol 255 ◽  
pp. 06001 ◽  
Author(s):  
Cheng Yew Leong
Keyword(s):  
Fault Detection ◽  
Air Conditioning ◽  
Early Stage ◽  
Fault Detection And Diagnosis ◽  
Commercial Building ◽  
Air Handling Unit ◽  
Operations And Maintenance ◽  
Detection And Diagnosis ◽  
Air Conditioning Systems ◽  
And Control

Air-conditioning systems consumed the most energy usage nearly 45% of the total energy used in commercial-building. Where AHU is one of the most extensively operated equipment and this device is typical customize and complex which can results in hardwire failure and controller errors. The efficiency of the system is very much depending on the proper functioning of sensors. Faults arising from the sensors and control systems are a major contribution to the energy wastage. As such faults often go unnoticed for extended periods of time until the deterioration in performance becomes great enough to trigger comfort complaints or total equipment failure. Energy could be reduced if those faults can be detected and identified at early stage. This paper aims to review of various existing automated fault detection and diagnosis (AFDD) methods for an Air Handling Unit. The background of AHU system, general fault detection and diagnosis framework and typical faults in AHU is described. Comparison and evaluation of the various methodologies will be reviewed in this paper. This comparative study also reveals the strengths and weaknesses of the different approaches. The important role of fault diagnosis in the broader context of air- conditioning is also outlined. By identifying and diagnosing faults to be repaired, these techniques can benefits building owners by reducing energy consumption, improving indoor air quality and operations and maintenance.

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