故障诊断与控制系统安全 LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Safety control scheme of non-stationary complex industrial processes based on resiliently time-varying dynamic Bayesian network
Wang, Jianwen; Chu, Fei; Peng, Chen; Zeng, Guo-Qiang; Wang, Fuli
Sci China Inf Sci, 2026, 69(1): 119202
Keywords: resiliently time-varying dynamic Bayesian network; non-stationary; complex industrial processes; safety control; causal relationship
Cite as: Wang J W, Chu F, Peng C, et al. Safety control scheme of non-stationary complex industrial processes based on resiliently time-varying dynamic Bayesian network. Sci China Inf Sci, 2026, 69: 119202, doi: 10.1007/s11432-025-4613-1

故障诊断与控制系统安全 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Decentralized fault diagnosis of discrete-event systems with unreliable sensors using linear temporal logic
Dong, Weijie; Li, Shaoyuan; Yin, Xiang
Sci China Inf Sci, 2025, 68(1): 112207
Keywords: discrete event systems; decentralized diagnosis; codiagnosability; automata
Cite as: Dong W J, Li S Y, Yin X. Decentralized fault diagnosis of discrete-event systems with unreliable sensors using linear temporal logic. Sci China Inf Sci, 2025, 68: 112207, doi: 10.1007/s11432-023-4108-8

故障诊断与控制系统安全 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

A novel quality-related dynamic slow feature analysis method for process monitoring
Zhang, Chen; Kong, Xiangyu; Liu, Meizhi; Hu, Changhua; Wang, Lixin
Sci China Inf Sci, 2026, 69(7): 172208
Keywords: quality-related; slow feature analysis; dynamic features; process monitoring; self-search strategy
Cite as: Zhang C, Kong X Y, Liu M Z, et al. A novel quality-related dynamic slow feature analysis method for process monitoring. Sci China Inf Sci, 2026, 69: 172208, doi: 10.1007/s11432-025-4891-0

故障诊断与控制系统安全 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Reduced KICA reconstruction modeling approach with dual attributes for fault diagnosis
Liu, Meizhi; Kong, Xiangyu; Hu, Changhua; Li, Huaifan
Sci China Inf Sci, 2026, 69(1): 112207
Keywords: fault diagnosis; fault subspace; fault magnitude; feature vector selection; kernel independent component analysis
Cite as: Liu M Z, Kong X Y, Hu C H, et al. Reduced KICA reconstruction modeling approach with dual attributes for fault diagnosis. Sci China Inf Sci, 2026, 69: 112207, doi: 10.1007/s11432-024-4689-9

故障诊断与控制系统安全 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Observer-based fault reconstruction for continuous-time piecewise-affine systems: a novel iterative learning approach
Xu, Nuo; Zhu, Yanzheng; Wu, Fen; Chen, Xinkai
Sci China Inf Sci, 2026, 69(1): 112203
Keywords: accelerated iterative learning law; continuous-time piecewise-affine systems; fault reconstruction; region mismatch; region-dependent Lyapunov function
Cite as: Xu N, Zhu Y Z, Wu F, et al. Observer-based fault reconstruction for continuous-time piecewise-affine systems: a novel iterative learning approach. Sci China Inf Sci, 2026, 69: 112203, doi: 10.1007/s11432-024-4370-3

故障诊断与控制系统安全 LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

An ensemble multivariate detection method for steady-state drift in process industries
Song, Wenshuo; Cao, Weihua; Yuan, Yan; Hu, Wenkai
Sci China Inf Sci, 2025, 68(8): 189202
Keywords: steady-state drift; process industry; drift detection; ensemble multivariate detection; concept drift
Cite as: Song W S, Cao W H, Yuan Y, et al. An ensemble multivariate detection method for steady-state drift in process industries. Sci China Inf Sci, 2025, 68: 189202, doi: 10.1007/s11432-024-4367-9