The Research Analysis And Test Validation On The Intelligentized Motor Online Vibration Diagnostic System

With the continuous development of technical methods and analysis means, online fault diagnosis has become one of the most effective tools in the management of corporation equipment. Motors and motor-driven equipments are typically widely used in industrial manufacturing. Faults of different types often occur during the on-site operation, thus, obtaining effective fault status information and extracting fault codes through model design has become the key to improve the capability of monitoring and testing the equipments and fault diagnosis.In this paper, the motor for the object, described an online detection system from vibration characteristics of vibration signals to obtain the principle of drag device status information, and study data collection methods by category, intelligent signal and to determine strategies, model design based on experience To achieve the online system intelligent diagnostic purposes. In this paper, vibration signals using the scene to determine unity of failure modes, the introduction of the technology part of the amount of signal and trigger signal, through the acquisition and contrast the classification system, combined with the integrated mechanical vibration signal alarm and fault diagnosis, this method can improve To determine the accuracy of the fault. Taking into account the mechanical signal is the failure of the traceability system based on the most important, in judging the quality of the signal accuracy of a very critical role, the study of a high-frequency interference signal in addition to the noise theory, this method can be used to Out high frequency vibration signal interference components. Research on intelligent fault alarm in this paper, the rough set theory to determine ways the state for a large number of device-based data, the extract failed to identify the key data sets exist, trends in key data is given according to police information, which Methods greatly improves the accuracy of the alarm line system, without affecting the overall sensitivity of the system under the premise of the system to solve the problem of false positives. In fault diagnosis, In this paper, empirical models based on field failure analysis fault diagnosis system to develop automated methods and the feasibility of a common failure of the motor were analyzed and lessons learned by the model development process.This study not only intelligent line vibration detection system theory, but also through a live example of architecture from the system began to introduce the method of data acquisition, signal processing, alarm policy, the model system to develop this series of intelligent functions of implementation, verification The feasibility of intelligent development of the system.