Online Model Based Fault Diagnosis with a Case Study of Belt Conveyor System
نویسندگان
چکیده
In this paper, some recent advancement made in the field of model based fault identification are elucidated and shown that bond graph modeling is well suited to solve fault detection and isolation problems in automated real time process engineering supervision systems. We present a case study and implement an online fault diagnosis scheme through parameter estimation to a belt conveyor system. Bond graph modeling, which is a unified tool for multi-energy domain system representation, is used to model the belt conveyor system. Moreover, the fault indicators are derived from the bond graph model and fault signatures are obtained by direct exploitation of causal path information from the bond graph model. Thereafter, the model simulation with a fault is carried out in MATLAB-Simulink environment to study the inverse dynamics and estimation of parameters. A singularity problem in estimation of belt stiffness coefficient is addressed and solved with pragmatic assumption.
منابع مشابه
Research of Fault Diagnosis of Belt Conveyor Based on Fuzzy Neural Network
To address deficiencies in the process of fault diagnosis of belt conveyor, this study uses a BP neural network algorithm combined with fuzzy theory to provide an intelligent fault diagnosis method for belt conveyor and to establish a BP neural network fault diagnosis model with a predictive function. Matlab is used to simulate the fuzzy BP neural network fault diagnosis of the belt conveyor. R...
متن کاملFault Detection Based on Probabilistic Robustness Techniques for Belt Conveyor Systems
In this paper, problems and application of the computation of false alarm rate (FAR) and threshold for belt conveyor systems are studied. Based on an information system which is developed to meet the requirements on monitoring and fault detection for large scale belt conveyor systems, the probability distribution of model uncertainty is assumed to be known and will be taken into account for the...
متن کاملOnline Fault Detection and Isolation Method Based on Belief Rule Base for Industrial Gas Turbines
Real time and accurate fault detection has attracted an increasing attention with a growing demand for higher operational efficiency and safety of industrial gas turbines as complex engineering systems. Current methods based on condition monitoring data have drawbacks in using both expert knowledge and quantitative information for detecting faults. On account of this reason, this paper proposes...
متن کاملA Model-Based Approach to Fault Detection and Abrasion Depending Maintenance on Belt Conveyor Systems
In this paper an information system is developed to meet the requirements on observer based monitoring and fault detection for large scale belt conveyor systems from a more practical viewpoint to support new abrasion depending maintenance schemes. The core of this information system is a mathematical model, an observer and a fault detection system.
متن کاملResearch on Enhancement Technology of Conveyor Belt Fault Images Based on Fruit Fly Optimization Algorithm
In this research, we studied the fault recognition algorithm of steel cord conveyor belt, and obtained the wire ropes image by adopting the detection system of steel cord conveyor belt, so that the fault recognition algorithm of steel cord conveyor belt was proposed based on Fruit fly optimization algorithm. As we know that the fruit fly optimization algorithm is used for fault detection of the...
متن کامل