Simulating the Operation States of Inhomogeneous Electromechanical Systems

S. Kurilin, V. Denisov, M. Dli
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Abstract

A complex solution to the problem of reliability of electrical equipment implies formulating and solving a number of scientific problems. In the scientific support of the efficient operation of asynchronous electric motors (AEM) there are two generalized scientific problems. Developments in the field of the strategies and criteria of efficient operation, termed Problem 1, are based on statistical information and mathematical simulation of operation states. Research in the field of the implementation of the adopted operation strategy, referred to as Problem 2, must be based on the latest information on the current health of each AEM and the risk of its further operation. The paper reflects the results of developing methods and means for simulating the AEM operation states for Problem 1. In the general case, An AEM is an inhomogeneous electromechanical system, whose inhomogeneity manifests itself during service aging. The paper states that the methods and means being developed for the simulation of AEM operation states must represent the current health of the object with due regard for its service aging. The tool of Kolmogorov equations used for the simulation enables one to represent a current health of the object. An example of practical simulation is given. The probability of AEM failure should be treated as the relative value of the maximum element of the current deviation matrix. For systems with service aging, the state probability bounds must be associated with the attainment of the limit state by the object and its removal from service.
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非均匀机电系统运行状态的模拟
电气设备可靠性问题的复杂解决方案意味着制定和解决许多科学问题。在异步电动机高效运行的科学支持中,存在两个普遍的科学问题。高效运行策略和标准领域的发展,称为问题1,是基于统计信息和运行状态的数学模拟。所采用的运营战略(称为问题2)的实施领域的研究必须以关于每个AEM当前运行状况及其进一步运营风险的最新信息为基础。本文反映了问题1的AEM运行状态模拟方法和手段的发展结果。一般情况下,AEM是一个非均匀的机电系统,其非均匀性在服役老化过程中表现出来。本文指出,为模拟AEM运行状态而开发的方法和手段必须表示对象的当前健康状况,并适当考虑其服务老化。用于模拟的柯尔莫哥洛夫方程工具使人们能够表示对象的当前健康状况。给出了一个实际的仿真实例。AEM失效的概率应视为当前偏差矩阵中最大元素的相对值。对于服务老化的系统,状态概率边界必须与对象达到极限状态并退出服务相关联。
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