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Data-driven fault detection technique has been widely applied for process monitoring, which can effectively detect faults happened in industrial processes. It is extremely significant for guaranteeing the normal operation of processes. Independent Component Analysis (ICA), a type of Data-driven fault detection technique, has been successfully applied to Blind Source Separation and process fault detection...
Process mining research discipline offers a spectrum of techniques for analysing event logs. Event logs represent the history of process execution. This information can be used for monitoring, analysing and improving the operational processes. The currently available methods in process mining emphasise on constructing the static process model. These models depict various dimensions of the process...
This paper deals with a detection approach that tries to solve major problems of traffic flow by combining a higher order modeling tool and the principal components analysis. This modeling system is applied to the data preprocessing level. The PCA is introduced for fault detection by comparing the method of SPE and Hotteling T2. For fault isolation, calculating contributions enables identify faulty...
The cumulative sum (CUSUM) control charts are widely used for measurement control of continuous processes. However, the quality characteristics of interest in many production processes, follows a sequence of discrete counts for non-conformities often modeled using a Poisson distribution. This paper introduces new CUSUM control chart design structure to monitor the location of a Poisson parameter....
The identification of change points is often considered as a model selection problem and the most commonly used methods are the Akaike information criterion (AIC), Bayesian information criterion (BIC) and their modified versions. These methods rely on the parametric distribution of the characteristic of interest, and any deviation from the specified parametric model may lead to incorrect conclusions...
This paper describes the development and experimental results of a process control system. The system enabled adjusting film thickness and in-film dopant concentration at the same time on a batch LPCVD machine. By this, anyone could adjust process results easily and exactly in a short time.
Modern information technologies has changed our world dramatically during last years. We see how a number of traditional professions were died, and how a number of new specialities and workplaces were born under pressure of new technologies. Technologies are moving so quickly, and in so many directions, that it becomes challenging to even keep in mind a general picture. In this article, we shortly...
Fault detection is important for safe operation of various modern engineering systems. Partial least square (PLS) has been widely used in monitoring highly correlated process variables. Conventional PLS-based methods, nevertheless, often fail to detect incipient faults. In this paper, we develop new PLS-based monitoring chart, combining PLS with multivariate memory control chart, the multivariate...
In this work we investigate the design and application of advanced control strategies to a periodic chromatographic process. For the Multicolumn Countercurrent Solvent Gradient Purification process (MCSGP), a nonlinear process described by a periodic profile, we present a step-by-step procedure that enables the seamless development of explicit advanced MPC controllers for such systems. The designed...
The visualization of Software-Defined Networks (SDN) allows multiple tenants to share the same physical infrastructure and to use their own SDN controllers. SDN virtualization is achieved through an SDN network hypervisor that operates between the tenants' controllers and the SDN infrastructure. In order to provide performance guarantees, resource mapping is required for both data plane as well as...
In this work we investigate the design and application of advanced control strategies to a chromatographic process. For the Multicolumn Countercurrent Solvent Gradient Purification process (MCSGP), a nonlinear process, described by a periodic profile, we develop a step-by-step procedure that enables the seamless development of approximate explicit advanced MPC controllers for such systems. The designed...
Fault detection is important for effective and safe process operation. Partial least squares (PLS) has been used successfully in fault detection for multivariate processes with highly correlated variables. However, the conventional PLS-based detection metrics, such as the Hotelling's T2 and the Q statistics are not well suited to detect small faults because they only use information about the process...
In today's era of communication, a company's brand is driven by more than the combination of promises made and promises kept for customer satisfaction to gain popularity of brand name. A telecommunications service provider's survival depends on its ability to prepare for changes in customer needs, as well as changes in regulation and technology. But the increasing expectations of customers and the...
The article describes the development of distributed information-analytical system of educational statistics, which allows to do effective quality control of the educational process. A mathematical model of educational statistics indicators, the functional support and architecture of software implementation of information-analytical system were developed.
A mass balance based model has been derived to represent the dynamical behaviour of two anaerobic digester (one pilot-scale, one industrial-scale). Its parameters have been calibrated for both reactors on the basis of experimental data and following a predefined design of experiments. This mass balance model constitutes the basis for software sensor design that takes advantage of the partial information...
Coal blending control system has been analysed in the paper. The aim of the control is to stabilise simultaneously the tonnage and the quality (ash content) of the blend. Tonnage of components are monitored with the use of belt scales and ash content with the use of radiometric on-line adaptive ash monitor with the fuzzy algorithm of the signal processing. The simulation analysis of a control strategy...
It is very challenging to secure industrial control systems from malwares and protect the system under control. Recent malwares have been specifically targeting public infrastructures like power grids/plants. Protecting against these malwares is challenging as they are configured with deep knowledge of the controller and system under control. Industrial plants are complex systems and hence needs a...
In some applications of statistical quality control, process quality is described by the relationship between a response variable and one or more explanatory variables that is called profile. Profile monitoring procedures assumes that error terms are uncorrelated random normal variables with zero mean and constant variance (homosedasticity). However in some applications, these assumptions can be violated...
Statistical process control techniques have found widespread application in industry for process improvement and for estimating process parameters or determining capability. Unfortunately, the assumption of uncorrelated or independent observations is not even approximately satisfied in some manufacturing processes. All manufacturing processes are driven by inertial elements, and the frequency of sampling...
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