首页|Researchers from Harbin University Detail Findings in Machine Learning (Short an d Long Term Memory Method for Predicting the Temperature of Motor Stator Based O n Harris Eagle Algorithm Optimization)
Researchers from Harbin University Detail Findings in Machine Learning (Short an d Long Term Memory Method for Predicting the Temperature of Motor Stator Based O n Harris Eagle Algorithm Optimization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discuss ed in a new report. According to news originating from Harbin, People’s Republic of China, by NewsRx correspondents, research stated, “The temperature of a moto r significantly affects its control and lifespan. However, due to the influence of motor structure and operating environment, precise temperature measurement of the motor is challenging with temperature sensors.” Our news journalists obtained a quote from the research from Harbin University, “Therefore, machine learning algorithms are often employed to predict the temper ature more accurately. To enhance motor control, integrating machine learning al gorithm models with the actual motor control terminal is highly beneficial. This paper proposes a Short and Long Term Memory (LSTM) algorithm model based on Har ris’s hawk optimization to predict the temperature of the motor stator, which is applied in actual motor control. Furthermore, it evaluates the tracking perform ance of motor control current. Firstly, an experimental platform for temperature measurement is established to acquire the temperature at different positions of the motor as raw data. Subsequently, the raw data is inputted into three algori thms: LSTM, PSO-LSTM, and HHO-LSTM, for comparison. By comparing evaluation metr ics, it is demonstrated that HHO-LSTM exhibits excellent predictive performance. Furthermore, utilizing diverse segments of the motor as model input sets enhanc es the generalization capability and predictive accuracy of the model.”
HarbinPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningHarbin Universit y
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