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Multivariate/minor fault diagnosis with severity level based on Bayesian decision theory and multidimensional RBC

期刊: JOURNAL OF PROCESS CONTROL, 2021; 101 ()

Fault diagnosis(FD) is vital for monitoring of industrial processes. Actually, both the multiple fault variables and minor faults are inclined to brin......

Monitoring multimode processes: A modified PCA algorithm with continual learning ability

期刊: JOURNAL OF PROCESS CONTROL, 2021; 103 ()

For multimode processes, one generally establishes local monitoring models corresponding to local modes. However, the significant features of previous......

Modeling and application of Czochralski silicon single crystal growth process using hybrid model of data-driven and mechanism-based methodologies

期刊: JOURNAL OF PROCESS CONTROL, 2021; 104 ()

Czochralski (Cz) silicon single crystal growth process is a large delay, nonlinear dynamic time varying system with complex physicochemical reactions,......

Quantitative diagnosis method of the sucker rod pump system based on the fault mechanism and inversion algorithm

期刊: JOURNAL OF PROCESS CONTROL, 2021; 104 ()

Computer-aided fault diagnosis based on the dynamometer card (DC) of the sucker-rod pumping system (SRPS) is a crucial technology to reduce operating ......

Hybrid approach integrating case-based reasoning and Bayesian network for operational adjustment in industrial flotation process

期刊: JOURNAL OF PROCESS CONTROL, 2021; 103 ()

In the industrial flotation process, the operational adjustment is still manual, which mainly relies on the operator's observation of the flotation fr......

Dynamic statistical process monitoring based on online dynamic discriminative feature analysis

期刊: JOURNAL OF PROCESS CONTROL, 2021; 103 ()

A novel online discriminative dynamic feature analysis (ODDFA) algorithm is formulated and then employed for dynamic process monitoring. Different fro......

Autoencoder embedded dictionary learning for nonlinear industrial process fault diagnosis

期刊: JOURNAL OF PROCESS CONTROL, 2021; 101 ()

Industrial processes usually exhibit great nonlinearity generated from the effects of complex mechanisms, system integrations and multiple working con......

Optimizing design for continuous conversion of glycerol to 1,3-propanediol using discrete-valued optimal control

期刊: JOURNAL OF PROCESS CONTROL, 2021; 104 ()

This paper focuses on modeling and optimizing design for continuous conversion of glycerol to 1,3-propanediol by Klebsiella pneumoniae, wherein diluti......

Lyapunov based on-line model reduction and control of semilinear dissipative distributed parameter systems with minimum feedback information

期刊: JOURNAL OF PROCESS CONTROL, 2021; 104 ()

We focus on the Lyapunov-based output feedback control problem for a class of distributed parameter systems with spatiotemporal dynamics described by ......

Transfer learning for nonlinear batch process operation optimization

期刊: JOURNAL OF PROCESS CONTROL, 2021; 101 ()

This paper concerns with the JY-KPLS model based transfer learning for the operation optimization of nonlinear batch processes. Due to problems of dat......

A trend-based event-triggering fuzzy controller for the stabilizing control of a large-scale zinc roaster

期刊: JOURNAL OF PROCESS CONTROL, 2021; 97 ()

In the zinc roasting process, the stability of the roasting temperature directly affects the product quality. However, the stabilizing control of the ......

Coal mill model considering heat transfer effect on mass equations with estimation of moisture

期刊: JOURNAL OF PROCESS CONTROL, 2021; 104 ()

A nonlinear dynamic model considering the effect of heat transfer on outlet pulverized coal mass flow is established based on the principles of conser......

A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition

期刊: JOURNAL OF PROCESS CONTROL, 2021; 104 ()

In order to recognize the coupling faults of complex industrial processes effectively, this paper proposed an AdaBoost ensemble (AdBE) model based on ......

Industrial process fault detection based on deep highly-sensitive feature capture

期刊: JOURNAL OF PROCESS CONTROL, 2021; 102 ()

With the rapid development of sensor and computer technology, deep learning has received extensive attention in the field of fault detection with powe......

A multi-rate sampling data fusion method for fault diagnosis and its industrial applications

期刊: JOURNAL OF PROCESS CONTROL, 2021; 104 ()

The multi-sensor data fusion based data-driven fault diagnosis method is a promising approach to detect faults of complex systems. However, in the act......

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