| A small-sample wind turbine fault detection method with synthetic fault data using generative adversarial nets J Liu, F Qu, X Hong, H Zhang IEEE Transactions on Industrial Informatics 15 (7), 3877-3888, 2018 | 165 | 2018 |
| Data-core-based fuzzy min–max neural network for pattern classification H Zhang, J Liu, D Ma, Z Wang IEEE transactions on neural networks 22 (12), 2339-2352, 2011 | 152 | 2011 |
| Injurious or noninjurious defect identification from MFL images in pipeline inspection using convolutional neural network J Feng, F Li, S Lu, J Liu, D Ma IEEE Transactions on Instrumentation and Measurement 66 (7), 1883-1892, 2017 | 133 | 2017 |
| An estimation method of defect size from MFL image using visual transformation convolutional neural network S Lu, J Feng, H Zhang, J Liu, Z Wu IEEE Transactions on Industrial Informatics 15 (1), 213-224, 2018 | 127 | 2018 |
| A hybrid wind power forecasting approach based on Bayesian model averaging and ensemble learning G Wang, R Jia, J Liu, H Zhang Renewable energy 145, 2426-2434, 2020 | 104 | 2020 |
| Weather prediction with multiclass support vector machines in the fault detection of photovoltaic system W Zhang, H Zhang, J Liu, K Li, D Yang, H Tian IEEE/CAA Journal of Automatica Sinica 4 (3), 520-525, 2017 | 71 | 2017 |
| A fuzzy support vector machine algorithm for classification based on a novel PIM fuzzy clustering method Z Wu, H Zhang, J Liu Neurocomputing 125, 119-124, 2014 | 68 | 2014 |
| A leak detection method for oil pipeline based on Markov feature and two-stage decision scheme J Liu, D Zang, C Liu, Y Ma, M Fu Measurement 138, 433-445, 2019 | 61 | 2019 |
| A novel wind turbine data imputation method with multiple optimizations based on GANs F Qu, J Liu, Y Ma, D Zang, M Fu Mechanical Systems and Signal Processing 139, 106610, 2020 | 59 | 2020 |
| A sensor liftoff modification method of magnetic flux leakage signal for defect profile estimation J Feng, S Lu, J Liu, F Li IEEE Transactions on Magnetics 53 (7), 1-13, 2017 | 56 | 2017 |
| Quick reconstruction of arbitrary pipeline defect profiles from MFL measurements employing modified harmony search algorithm F Li, J Feng, H Zhang, J Liu, S Lu, D Ma IEEE Transactions on Instrumentation and Measurement 67 (9), 2200-2213, 2018 | 55 | 2018 |
| Wind turbine fault detection based on expanded linguistic terms and rules using non-singleton fuzzy logic F Qu, J Liu, H Zhu, B Zhou Applied Energy 262, 114469, 2020 | 54 | 2020 |
| An arc fault detection method based on current amplitude spectrum and sparse representation N Qu, J Wang, J Liu IEEE Transactions on Instrumentation and Measurement 68 (10), 3785-3792, 2018 | 53 | 2018 |
| Multisensor fusion for magnetic flux leakage defect characterization under information incompletion M Fu, J Liu, H Zhang, S Lu IEEE Transactions on Industrial Electronics 68 (5), 4382-4392, 2020 | 50 | 2020 |
| A general transfer framework based on industrial process fault diagnosis under small samples J Liu, Y Ren IEEE Transactions on Industrial Informatics 17 (9), 6073-6083, 2020 | 46 | 2020 |
| Window feature-based two-stage defect identification using magnetic flux leakage measurements J Liu, M Fu, F Liu, J Feng, K Cui IEEE Transactions on Instrumentation and Measurement 67 (1), 12-23, 2017 | 42 | 2017 |
| An iterative stacking method for pipeline defect inversion with complex MFL signals G Yu, J Liu, H Zhang, C Liu IEEE Transactions on Instrumentation and Measurement 69 (6), 3780-3788, 2019 | 40 | 2019 |
| Precise inversion for the reconstruction of arbitrary defect profiles considering velocity effect in magnetic flux leakage testing S Lu, J Feng, F Li, J Liu IEEE Transactions on Magnetics 53 (4), 1-12, 2016 | 40 | 2016 |
| Synchronization analysis for complex networks with coupling delay based on T–S fuzzy theory D Gong, H Zhang, Z Wang, J Liu Applied Mathematical Modelling 36 (12), 6215-6224, 2012 | 38 | 2012 |
| Fast reconstruction of defect profiles from magnetic flux leakage measurements using a RBFNN based error adjustment methodology J Feng, F Li, S Lu, J Liu IET Science, Measurement & Technology 11 (3), 262-269, 2017 | 33 | 2017 |
