(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
Contact Person: Miss. Vicky Qi
Tel: 86-13271533630