A novel deep autoencoder and hyperparametric adaptive learning for imbalance intelligent fault diagnosis of rotating machinery. - Wanxiang Li; Zhiwu Shang; Maosheng Gao; Shiqi Qian; Baoren Zhang; Jie Zhang (Eng. Appl. Artif. Intell., 2021)

A novel intelligent fault diagnosis method of rotating machinery based on signal-to-image mapping and deep Gabor convolutional adaptive pooling network. - Wanxiang Li; Zhiwu Shang; Shiqi Qian; Baoren Zhang; Jie Zhang; Maosheng Gao (Expert Syst. Appl., 2022)

Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions. - Wanxiang Li; Zhiwu Shang; Maosheng Gao; Shiqi Qian; Zehua Feng (Reliab. Eng. Syst. Saf., 2022)

A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder. - Wanxiang Li; Zhiwu Shang; Jie Zhang; Maosheng Gao; Shiqi Qian (Eng. Appl. Artif. Intell., 2023)

A Novel Small Samples Fault Diagnosis Method Based on the Self-attention Wasserstein Generative Adversarial Network. - Zhiwu Shang; Jie Zhang; Wanxiang Li; Shiqi Qian; Jingyu Liu; Maosheng Gao (Neural Process. Lett., 2023)