Motor temperature rise forecast method based on radial basis function (RBF) neural network

Abstract

The invention proposes a motor temperature rise forecast method based on a radial basis function (RBF) neural network. According to the method, a motor temperature rise parameter of a modern car window is forecasted by building the RBF neural network, and meanwhile, the parameter forecasted by the neural network is substituted into a built motor temperature rise mathematic model so as to achieve real-time forecast on the motor temperature. The RBF neural network selected by the invention is an optimal network in a forward network, and is higher in algorithm speed than an ordinary back propagation (BP) neural network algorithm, the classification ability is high, the convergence rate is high during the studying process, and the problem of local optimum of a studying method is also avoided.

Description

technical field [0001] The invention relates to a method for predicting motor temperature rise based on RBF neural network, and belongs to the technical field of motor thermal protection and real-time temperature monitoring. Background technique [0002] With the vigorous development of today's social economy and science and technology, the capacity of motors used in the field of automation has gradually expanded, and the structure and composition of the system have become more and more complex. However, the motor may start frequently in a complex working environment, which may cause the motor to burn out and cause major losses. Although the thermal protection of motors can be measured by some traditional methods, such as thermometer method, pasting temperature measuring paper method and resistance method, etc., these methods have some shortcomings, and they cannot be more reliable through some specific models. Describe the temperature change process in the working conditio...

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Problems solved by technology

However, the motor may start frequently in a complex working environment, which may cause the motor to burn out and cause major losses

Although the thermal protection of motors can be measured by some traditional methods, such as thermometer method, pasting temperature measuring paper method and resistance method, etc., these methods have some shortcomings, and they cannot be more reliable through some specific models. Describe the temperature change process in the working condition of the motor

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