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Innovative application of electric dynamometer in motor life prediction
Latest company news about Innovative application of electric dynamometer in motor life prediction

Innovative application of electric dynamometer in motor life prediction

(Construction of prediction model based on combined diagnosis in time-frequency domain)

 

1. Full-condition dynamic coupling test system

 

Innovation:

 

1) Develop a load-temperature coordinated control system to achieve:

t_{overload} = 30 times frac{293}{T_{amb}+273} quad (T_{amb}:-20℃~50℃)

 

Solve the problem of temperature rise distortion in traditional overload test (see Appendix A for experimental data)

 

2) Introducing a 6-DOF vibration table to support multi-axis vibration coupling analysis under ISO 18738-2 standard

 

Technical boundaries:

 

1) 0.1 level dynamometer can identify 0.5% efficiency fluctuation (verified by FFT)

 

2) Extreme environment testing requires a two-stage compression refrigeration system (energy consumption increases by 35% at -40°C)

 

2. Optimization of multi-parameter health monitoring system

 

Parameter Dimensions Technical improvements Data validation
Heat aging Distributed optical fiber temperature measurement (±0.1℃) The life of a certain type of motor decreases by 53% when ΔT=12K
Mechanical wear Improved envelope spectrum analysis algorithm Bearing fault identification rate increased to 92%
Electrical properties Broadband harmonic responsibility division Turn-to-turn short circuit warning is available 400 hours in advance

 

Failure correlation model:

 

graph TB A [Temperature ΔT] -->|Arrhenius coefficient k=0.8| B (Insulation aging) C [Vibration 15dB] -->|Fault characteristic frequency| D (Bearing peeling) E [Current harmonic THD5%] -->|Wavelet entropy analysis| F (Winding deformation)

 

3. Validation of hybrid prediction model

 

Algorithm architecture:

 

1) Two-parameter Weibull model (shape parameter β = 2.1)

 

2) Dynamic Arrhenius correction (activation energy Ea=0.65eV)

 

Verification method:

 

1) Using 5-fold cross validation (N=217)

 

2) Prediction error between new and old motors:

 

Type Average Error Confidence interval
New Motor ±3.2% 94.7%
Old motor ±12.8% 89.3%

 

Engineering Application :

 

1) Calibration cycle every 500 hours (equivalent to 30,000 km of operation)

 

2) Digital twin system achieves 0.001% error traceability

 

Pub Time : 2025-08-14 17:37:35 >> News list
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