Janet Lin
Biträdande professor
Luleå tekniska universitet
Luleå tekniska universitet
Drift, underhåll och akustik
Institutionen för samhällsbyggnad och naturresurser
[http://www.ltu.se /cms_fs/1.50327!/file/Short%20Bio_202001.pdf]
Publikationer
Artikel i tidskrift
Data-driven approach to study the polygonization of high-speed railway train wheel-sets using field data of China’s HSR train (2020)
Measurement, Vol. 149
Artikel i tidskrift
Deep Learning for Track Quality Evaluation of High-Speed Railway Based on Vehicle-Body Vibration Prediction (2020)
IEEE Access, Vol. 7, s. 185099-185107
Artikel i tidskrift
Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples (2020)
Knowledge-Based Systems, Vol. 191
Artikel i tidskrift
Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder (2020)
Measurement, Vol. 152
Artikel i tidskrift
A Dynamic Prescriptive Maintenance Model Considering System Aging and Degradation (2019)
IEEE Access, Vol. 7, s. 94941-94943
Artikel, forskningsöversikt
A Review on Deep Learning Applications in Prognostics and Health Management (2019)
Ingår i: IEEE Access
Artikel i tidskrift
An Active Learning Method Based on Uncertainty and Complexity for Gearbox Fault Diagnosis (2019)
IEEE Access, Vol. 7, s. 9022-9031
Artikel i tidskrift
An approach to evaluate wheel-rail match properties considering the flexibility of ballastless track (2019)
Comparison of rigid and flexible track models in wheel-rail profile matching
International Journal of COMADEM, Vol. 22, nr. 3, s. 5-13
Artikel i tidskrift
Application of Bayesian Networks in Reliability Evaluation (2019)
IEEE Transactions on Industrial Informatics, Vol. 15, nr. 4, s. 2146-2157
Artikel i tidskrift
Bearing Fault Diagnosis Based on Subband Time-Frequency Texture Tensor (2019)
IEEE Access, Vol. 7, s. 37611-37619
