Janet Lin
Janet Lin

Janet Lin

Biträdande professor
Luleå tekniska universitet
Drift och underhållsteknik
Drift, underhåll och akustik
Institutionen för samhällsbyggnad och naturresurser
janet.lin@ltu.se
0920-491564
F712 Luleå

Publikationer

Artikel i tidskrift

Deep Learning for Track Quality Evaluation of High-Speed Railway Based on Vehicle-Body Vibration Prediction (2020)

Ma. S, Gao. L, Liu. X, Lin. J
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)

He. Z, Shao. H, Wang. P, Lin. J, Cheng. J, Yang. Y
Knowledge-Based Systems, Vol. 191
Artikel i tidskrift

Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder (2020)

He. Z, Shao. H, Lin. J, Cheng. J, Yang. Y
Measurement, Vol. 152
Artikel i tidskrift

A Dynamic Prescriptive Maintenance Model Considering System Aging and Degradation (2019)

Liu. B, Lin. J, Zhang. L, Kumar. U
IEEE Access, Vol. 7, s. 94941-94943
Artikel, forskningsöversikt

A Review on Deep Learning Applications in Prognostics and Health Management (2019)

Zhang. L, Lin. J, Liu. B, Zhang. Z, Yan. X, Wei. M
Ingår i: IEEE Access
Artikel i tidskrift

An Active Learning Method Based on Uncertainty and Complexity for Gearbox Fault Diagnosis (2019)

Chen. J, Zhou. D, Guo. Z, Lin. J, LYU. C, LU. C
IEEE Access, Vol. 7, s. 9022-9031
Artikel i tidskrift

Application of Bayesian Networks in Reliability Evaluation (2019)

Cai. B, Kong. X, Liu. Y, Lin. J, Yuan. X, Xu. H, et al.
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)

Bo. L, Xu. G, Liu. X, Lin. J
IEEE Access, Vol. 7, s. 37611-37619