Improved Condition Monitoring System for Induction Machines Using a Model-Based Fault Detection Approach
نویسندگان
چکیده
Due to their reliability, robustness and simple construction squirrel-cage induction motors are widely used in industry. However, faults like broken rotor bars, rotor eccentricity, bearing and winding faults can occur during normal operation of the motor. Techniques for the detection of these faults have been researched since more than ten years. Although hundreds of papers are published year by year in this field yet no absolutely sure detection method was found. Hence any ideas concerning the improvement of the condition monitoring systems of the electrical machines can be of real interest for the specialists working in this field around the world. In the paper an improved condition monitoring system for induction machines using a model-based fault detection approach will be presented. The main idea was to combine two detection methods in order to improve the accuracy of the condition monitoring. The proposed method is suited for vector controlled induction machines.
منابع مشابه
Stator Turn-to-Turn Fault Detection of Induction Motor by Non-Invasive Method Using Generalized Regression Neural Network
Condition monitoring and protection methods based on the analysis of the machine's current are widely used according to non-invasive characteristics of current transformers. It should be noted that, these sensors are installed by default in the machine control center. On the other hand, condition monitoring based on mathematical methods has been proposed in literature. However, they are model b...
متن کاملStator Fault Detection in Induction Machines by Parameter Estimation Using Adaptive Kalman Filter
This paper presents a parametric low differential order model, suitable for mathematically analysis for Induction Machines with faulty stator. An adaptive Kalman filter is proposed for recursively estimating the states and parameters of continuous–time model with discrete measurements for fault detection ends. Typical motor faults as interturn short circuit and increased winding resistance ...
متن کاملA Fuzzy Rule Based System for Fault Diagnosis, Using Oil Analysis Results
Condition Monitoring, Oil Analysis, Wear Behavior, Fuzzy Rule Based System Maintenance , as a support function, plays an important role in manufacturing companies and operational organizations. In this paper, fuzzy rules used to interpret linguistic variables for determination of priorities. Using this approach, such verbal expressions, which cannot be explicitly analyzed or statistic...
متن کاملEmbedded control and diagnostics algorithm with fault prediction and analysis of AC induction machines
—Fault diagnostics of induction machines have been widely researched however, an integrated motor control with automated fault detection, prevention and condition monitoring is still missing. Condition monitoring can reduce the downtime of the processes and increase the maximum interval between failures, thus minimizing the number and cost of unscheduled maintenances, which is highly beneficial...
متن کاملWavelet Analysis and Park's Vector Based Condition Monitoring of Induction Machines
Condition monitoring is an important issue in the maintenance of electrical machines. In the last years many methods of fault detection were cited in literature. Most of the newly proposed advanced methods are for on-line and non-invasive monitoring. This means that the faults can be detected already in their incipient phase during the usual work of the monitored machines. The aims of this pape...
متن کامل