2011 Symposium on Piezoelectricity, Acoustic Waves and Device Applications (SPAWDA) 2011
DOI: 10.1109/spawda.2011.6167274
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Life prediction model of friction material for traveling wave ultrasonic motor

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Cited by 4 publications
(2 citation statements)
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“…Due to the good mathematical properties of the Wiener process, which has long been widely used in equipment reliability prediction and life analysis [25][26][27]. However, there are fewer research methods on the life of ultrasonic motors, One of the earliest examples of life research on ultrasonic motors is Takaaki Ishii et al [29] who explored the output characteristics and life of linear motors in relation to the friction material on the sliding surface to obtain a life prediction model; Xiu Tian et al [30] developed a life prediction model for the friction material of traveling wave ultrasonic motor based on the friction mechanism between stator and rotor; Lin Yang et al [31] predicted the performance degradation trend of traveling wave motors based on a machine-learning to obtain the RUL of the motor. The above research provides solutions for predicting the RUL of ultrasonic motors based on model-based and machine-learning respectively.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the good mathematical properties of the Wiener process, which has long been widely used in equipment reliability prediction and life analysis [25][26][27]. However, there are fewer research methods on the life of ultrasonic motors, One of the earliest examples of life research on ultrasonic motors is Takaaki Ishii et al [29] who explored the output characteristics and life of linear motors in relation to the friction material on the sliding surface to obtain a life prediction model; Xiu Tian et al [30] developed a life prediction model for the friction material of traveling wave ultrasonic motor based on the friction mechanism between stator and rotor; Lin Yang et al [31] predicted the performance degradation trend of traveling wave motors based on a machine-learning to obtain the RUL of the motor. The above research provides solutions for predicting the RUL of ultrasonic motors based on model-based and machine-learning respectively.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, research on friction of ultrasonic motor has mainly focused on the frictional property of the contact interface, [1][2][3][4] the wear principle of friction material, [5][6][7][8] and the life forecasting of ultrasonic motor and friction material. [9][10][11][12] However, the influences on ultrasonic motor performance and contact interface by wear of the friction material are seldom researched. In order to promote the rapid development of ultrasonic motor, this aspect needs to be researched.…”
Section: Introductionmentioning
confidence: 99%