Lei Hao
ABSTRACT
Based on the principle of random fatigue and non-linear train machinery fault diagnosis and analysis, the frequency domain simulation method of car body fatigue strength analysis is established, and the steady random vibration analysis is transformed into the conventional simple harmonic vibration analysis, and the randomness of dangerous points can be obtained accurately and efficiently. Dynamic stress power spectrum response, and further use the frequency domain fatigue damage model to evaluate the fatigue life of the local structure of the car body.
- Shu G S, Li Y Z, Tai H D, Diagnosis on the Mechanical Fault of Universal Circuit Breaker Based on Motor Current Analysis[J]. Chinese Journal of Enteric Instrument, 2017, 38(4):952-960.Google Scholar
- Ma J, Zhang S H. The Mechanical Fault Diagnosis Method Based on EMD and Time Series Analysis[J]. Applied Mechanics & Materials, 2014, 6(2):2330-2333.Google ScholarCross Ref
- Li Z N, Zhang F, He X P, Application of the Blind Source Separation Based on Time-Frequency Analysis in Mechanical Fault Diagnosis[J]. Advanced Materials Research, 2014, 9(5):1054-1062.Google ScholarCross Ref
- Pan Y, Mei F, Miao H, An Approach for HVCB Mechanical Fault Diagnosis Based on a Deep Belief Network and a Transfer Learning Strategy[J]. Journal of Electrical Engineering and Technology, 2019, 14(1):407-419.Google ScholarCross Ref
- Zhang Y, Li X, Huang Z, Feature Analysis of Metal Fatigue Damage Processes Based on the Chaos and Fractal Theory[J]. Journal of Vibration and Shock, 2017, 36(21):72-76.Google Scholar
- Hirschberg V, Wilhelm M, Rodrigues D. Cumulative Nonlinearity as a Parameter to Quantify Mechanical Fatigue[J]. Fatigue & Fracture of Engineering Materials and Structures, 2020, 43(2):265-276.Google ScholarCross Ref
- Sun K, Liu Y. Research on Mechanical Fault Diagnosis of High Voltage Circuit Breaker Based on EEMD and Mahalanobis Distance Discriminant[J]. High Voltage Apparatus, 2018, 54(12):43-49.Google Scholar
- Huang N, Chen H, Lin L, Mechanical Fault Diagnosis of High Voltage Circuit Breakers Based on S-transform and Extreme Learning Machine[J]. High Voltage Apparatus, 2018, 54(6):74-80.Google Scholar
- Wang Y, Zhao C. Fault Diagnosis Method Based on Comprehensive Analysis of Fault Characteristics of Biased Location and Data Variations[J]. Isaac Papers online, 2017, 50(1):13910-13915.Google Scholar
- Feng J, Wang J, Zhang H, Fault Diagnosis Method of Joint Fisher Discriminant Analysis Based on the Local and Global Manifold Learning and Its Kernel Version[J]. IEEE Transactions on Automation Emcee and Engineering, 2016, 13(1):122-133.Google ScholarCross Ref
- Dan X U, Long Y U, Mechanical Fault Diagnosis Method for Circuit Breaker Based on the Combination of Energy Entropy and Improved EMD by Using the Least Square Method[J]. High Voltage Apparatus, 2014, 50(8):99-103.Google Scholar
- Zhang P, Zhao S T, Shen L, Research on Vibration and Acoustic Joint Mechanical Fault Diagnosis Method of High Voltage Circuit Breaker Based on Improved EEMD[J]. Power System Protection and Control, 2014, 42(8):77-81.Google Scholar
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