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{"title":"IN STOCK Mitsubishi Servo Motor HC-RFS103 \/ HC-RFS153 AC Industrial Motor 1kw","imgUrl":"https:\/\/img.ismap.com\/nimg\/18\/1d\/e184ed688f542eefbcccf4e83b7d-200x200-1\/in_stock_mitsubishi_servo_motor_hc_rfs103_2f_hc_rfs153_ac_industrial_motor_1kw.jpg","attrs":{"Brand Name":"Mitsubishi","Model Number":"HC-RFS103 \/ HC-RFS153","Certification":"CE","Place of Origin":"Japan"}}
{"title":"Emerson Control Techniques MHM-8500-CONS-0000 Servo Motors, MH Series Servo","imgUrl":"https:\/\/img.ismap.com\/nimg\/b9\/2d\/42b65f53f26d5563abca7d8b3721-200x200-1\/emerson_control_techniques_mhm_8500_cons_0000_servo_motors_2c_mh_series_servo_motors_ac_servo_manufactured.jpg","attrs":{"Brand Name":"Emerson","Model Number":"MHM-8500-CONS-0000","Certification":"CE","Place of Origin":"U.S.A."}}
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{"title":"EMERSON Control Techniques MG Servo Motor, 230VAC, 2" MGE-208-CONS-0000 SERVO","imgUrl":"https:\/\/img.ismap.com\/nimg\/b3\/04\/190b4893c77a29cb66e0fc468067-200x200-1\/emerson_control_techniques_mg_servo_motor_2c_230vac_2c_2_22_mge_208_cons_0000_servo_motor_encoder_230v.jpg","attrs":{"Brand Name":"Emerson","Model Number":"MGE-208-CONS-0000","Certification":"CE","Place of Origin":"U.S.A."}}
{"title":"EMERSON Control Techniques, Nidec Motor Corp MGM-340-CONS-0000 2HP 6.5AMP 230VAC","imgUrl":"https:\/\/img.ismap.com\/nimg\/43\/9c\/41533caad0ad02fcad13796baf0f-200x200-1\/emerson_control_techniques_2c_nidec_motor_corp_mgm_340_cons_0000_2hp_6_5amp_230vac_3000rpm_servo_motor_encoder.jpg","attrs":{"Brand Name":"Emerson","Model Number":"MGM-340-CONS-0000","Certification":"CE","Place of Origin":"U.S.A."}}
Industrial Servo Motor Yaskawa Electric SERVO MOTOR 200V 3000/min SGM-02A312 New in box
SPECIFITIONS
Current: 0.89A Volatge: 200V Power :100W Rated Torque: 0.318-m Max speed: 3000rpm Encoder: 17bit Absolute encoder Load Inertia JL kg¡m2¢ 10−4: 0.026 Shaft: straight without key
Thus, high costs associated with equipment to emulate the faults or destructive tests to generate datasets to train this method are not involved. The second advantage is related to scalability of the monitoring process. The signatures for the training and monitoring stages are normalized in amplitude. However, the signatures of the monitoring stage are not only normalized in amplitude, but also in frequency. This normalization in frequency of the signatures of the monitoring stage is a function of the signatures of the training stage. Thus, the signatures from the training and monitoring stages for the same motor operating condition have similar amplitude and frequency. These signatures with similar amplitude and frequency for the same motor operating condition are essential in the monitoring stage to yield high level of motor fault monitoring accuracy. Accordingly, the training and monitoring stages yield signatures that are independent of motor rated power, number of poles, level of load torque, and operating frequency of the real motor that is being monitored.
Thus, this method constitutes a powerful tool for induction motor fault monitoring. This is demonstrated and verified by the experimental results given in Chapter 5 of this thesis.
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Thus, high costs associated with equipment to emulate the faults or destructive tests to generate datasets to train this method are not involved. The second advantage is related to scalability of the monitoring process. The signatures for the training and monitoring stages are normalized in amplitude. However, the signatures of the monitoring stage are not only normalized in amplitude, but also in frequency. This normalization in frequency of the signatures of the monitoring stage is a function of the signatures of the training stage. Thus, the signatures from the training and monitoring stages for the same motor operating condition have similar amplitude and frequency. These signatures with similar amplitude and frequency for the same motor operating condition are essential in the monitoring stage to yield high level of motor fault monitoring accuracy. Accordingly, the training and monitoring stages yield signatures that are independent of motor rated power, number of poles, level of load torque, and operating frequency of the real motor that is being monitored.
Thus, this method constitutes a powerful tool for induction motor fault monitoring. This is demonstrated and verified by the experimental results given in Chapter 5 of this thesis.
OTHER SUPERIOR PRODUCTS
Yasakawa Motor, Driver SG- Mitsubishi Motor HC-,HA-
Shenzhen Wisdomlong Technology CO.,LTD Mainly engaged in automation parts, PLCS,DCS,sensors, relays, dirves,encoder, servo drive,soft starter,touch screen,instrument,process control,electric transmission and factory automation aspects of the project design,software programming,technical service and ... Shenzhen Wisdomlong Technology CO.,LTD Mainly engaged in automation parts, PLCS,DCS,sensors, relays, dirves,encoder, servo drive,soft starter,touch screen,instrument,process control,electric transmission and factory automation aspects of the project design,software programming,technical service and ...
