代表性论著[1] Liang Ma, Jie Dong, Kaixiang Peng*. A novel hierarchical detection and isolation framework for quality-related multiple faults in large-scale processes, IEEE Transactions on Industrial Electronics, 2019, DOI: 10.1109/TIE.2019.2898576.[2] Liang Ma, Jie Dong, Kaixiang Peng*. Hierarchical monitoring and root cause diagnosis framework for key performance indicator-related multiple faults in process industries, IEEE Transactions on Industrial Informatics, 2019, 15(4): 2091-2100.[3] Liang Ma, Jie Dong, Kaixiang Peng*. A novel robust semisupervised classification framework for quality-related coupling faults in manufacturing industries, IEEE Transactions on Industrial Informatics, 2019, DOI: 10.1109/TII.2019.2901931.[4] Liang Ma, Jie Dong, Kaixiang Peng*. A practical propagation path identification scheme for quality-related faults based on nonlinear dynamic latent variable model and partitioned Bayesian network, Journal of the Franklin Institute, 2018, 355: 7570-7594. [5] Liang Ma, Jie Dong, Kaixiang Peng*. Root cause diagnosis of quality-related faults in industrial multimode processes using robust Gaussian mixture model and transfer entropy, Neurocomputing, 2018: 285: 60-73.[6] Liang Ma, Jie Dong, Kaixiang Peng*. A novel key performance indicator oriented hierarchical monitoring and propagation path identification framework for complex industrial processes, ISA Transactions, 2019, DOI: 10.1016/j.isatra.2019.06.004.[7] Liang Ma, Jie Dong, Kaixiang Peng*. A novel data-based quality-related fault diagnosis scheme for fault detection and root cause diagnosis with application to hot strip mill process, Control Engineering Practice, 2017, 67: 43-51. [8] 彭开香, 马亮*, 张凯. 复杂工业过程质量相关的故障检测与诊断技术综述. 自动化学报, 2017, 43(3): 349-365.
