Camelia Maican

Experimental studies on faults detection using residual generator

In this paper one will develop the faults detection and localization method using residual vectors, in order to emphasize the noises, disturbances and faults on the outputs L1 and L2 of the control level plant with two coupled tanks ”Quanser Water Level Control Two Tank Module”. The proposed method was theoretically developed and experimentally verified in this plant and allowed detection and localization of two faults created in a real plant. The experiments presented were realized using Matlab Simulink program.

Fault detection in steam superheater using residuals generator method

The paper presents the faults detection and localization method using residual vectors, in order to emphasize the disturbances and faults on the outputs Ta2 and Ta3 of the steam temperature from superheaters. The control system temperature was developed under Matlab Simulink with a PI controller. Depending on the fault followed to be detected one can make configurations to define the residues with the proper implementation of the weighting matrices. The proposed method was theoretically developed and experimentally verified on the superheaters model.

Fault detection and isolation for hydropower systems using adaptive residual approach

This paper aims to address two issues by developing a specific nonlinear systems management tool known as feed-forward control and a method for fault detection and isolation for a class of nonlinear systems described by equations specific fluid flow through pipes.

Level Control Using a Feed-Forward Structure

This paper presents an alternative for level control in three coupled tanks, using a feed-forward control structure. The mathematical model for the lab installation is developed and the model is tuned by comparing its output with the real output of the lab rig. A comparative analysis of PI control and feed-forward control is presented.

Fault detection and control in superheater using electronic simulator

This paper presents the design of an electronic simulator in order to reproduce the real function of the superheater in normal condition and in fault condition. With this electronic simulator there was studied the possibility to control the superheater when the perturbations action and the control of the system structure which will be implemented on the real system.

Faults Detection And Level Control In Coupled Tanks

Abstract This paper presents a mechanism for the detection and localization of faults in a plant, which is equipped with two coupled tanks, using residual methods. The water circuit consists of the upper and lower tanks connected through a system of pipes and valves. The controlled variable is the level in the upper tank. The level control system and the faults detection structure were developed under Matlab Simulink. The faults detection structure allows us to detect two faults that can occur in the plant, separately. The proposed method was theoretically developed and experimentally verified on the plant model.

Faults detection and isolation method using adaptive residual generator

In this paper one will develop the faults detection and isolation method using an adaptive residual generator (with one input, two outputs and two residues), in order to emphasize the noises, disturbances and faults on the outputs L1 and L2 of the control level plant with two coupled reservoirs “Quanser Water Level Control Two Reservoir Module”. The proposed method was theoretically developed and experimentally verified and allowed detection and isolation of two faults created in a real plant and it was studied also in the paper [2], but in this case the method was implemented on the real installation control system for detection and localization of two faults created in a real plant. (ΔA2). It can be observed the response of the residual generator and of the variation L1 and L2 when the faults appear.

Heat exchange model for a power station boiler

In coal power plants from Romania, there is a major interest for the implementation of digital systems for monitoring and control, replacing the conventional control systems for power, frequency and voltage. Therefore it is necessary to develop mathematical models capable to accurately describe both dynamic and stationary behaviour of the coal burning units, in order to be able to implement digital control algorithms. Moreover, it is necessary to implement systems for monitoring and control of coal power plants, in order to optimise the use of the fuel resources. This paper presents the possibilities of modelling and simulation of the heat exchange in power plants and performs an analysis of different control structures and algorithms.

Fault detection and isolation based on system feedback

This paper present a method to detect the transducers fault in the close loop control systems. The necessities imposed for the fault detection algorithm are: rapid answer in the case of fault, which comes out; the diminution of the risk to come out false alarms; lower effort calculation. In the paper are presented the equations of fault detection structure that suggest the software algorithms. In last part of the paper, the algorithm was verified on the steam overhead equations, developed in this paper.

Faults digital library in burning process

In this paper was developed a faults library for the steam boiler, the accent being on the study of the situations when faults occur in the burning process (furnace). This library is used in the monitoring and control system, the main object consisting in detection and localization of different faults. The system realise the fault detection in real time, comparison the process response with the response of the other models from the digital library and when are applied the same commands or signals in the same mode that in real process. In the last two sections of the paper was developed the application of fault detection algorithm based on plant model of burning process (included in this paper) and graphical results of fault detection experiments.