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This paper presents a cost controlling model for maintenance of wind energy plants (WEP). The cost model is developed as a decision instrument in cooperation with a maintenance process model of WEP. The entire model is specifically designed based on a qualitative study of state-of-the-art models/systems and collection of operational and managerial requirements from wind park operators and maintenance...
The basis for the fourth industrial revolution is the availability of accessing all relevant information in real time by connecting all instances involved in the value chain. The ultimate goal is to manage the entire value chain process, improving efficiencies in the production process and coming up with better products and services. The essence of vertical networking comes from the use of cyber-physical...
Nowadays, the electric power systems play a fundamental role in our society, since the electric energy transport until the final consumer. Under this context, the substations are an essential component of these systems, because they operate as a point of interconnection between the electrical transport networks and the energy distribution systems. Due to the importance of this type of facilities,...
The brief description of intellectual monitoring system of university students competences formation process using the complex-valued status function method is suggested. Algorithm for formation of SF are present. Monitoring system and possible aspects of intellectualized of this system are described. This work is devoted to the discussion of the intellectualization of the IS for monitoring of the...
Information technology has become an indispensable unit of an enterprise life in current era. Its inception has changed the ways businesses are done today in a competitive environment. In order to get value from significant investments done on complex IT infrastructure, it should be efficiently governed and managed. IT governance and management is a part of overall corporate governance and management...
We introduce a framework for provisioning end-to-end (E2E) managed video services over a multi-domain SDN, where different domains may be operated by different network providers. The proposed framework enables efficient dynamic management of network resources for network providers and ability to request the desired level of quality of experience (QoE) for end users. In the proposed fully-distributed...
In the broader context of smart cities, to ensure mobility of people regardless of their physical or sensory condition becomes a complex and difficult challenge to be treated. All papers referenced in this work are presented as a solution to equip the blind people with devices and sensors (controlled by a computational system) with the ability to capture environmental structure data and somehow describe...
Beijing Metro plans to open an Automated Urban Guided Transport (AUGT) Line at the end of 2017. The line will follow GOA4 requirements according to IEC62290-2014 and IEC62267-2009. The main difference between the AUGT line and existing line is no driver or attended people on the train. The system will realize the following functions: Ensure safety movement, Driving Supervising guideway, supervising...
Metacognition has been used in artificial intelligence to increase the level of autonomy of intelligent systems. However the design of systems with metacognitive skills is a difficult task due to the number and complexity of processes involved. This paper describes a MOF-based visual metacognitive modeling tool named MetaThink. MetaThink has a core based on a metacognitive metamodel named MISM. MetaThink...
Control loop performance monitoring and diagnosis is an important practical topic in process industries. Data-driven Bayesian method is attracting more and more research attention, which uses multiple monitors to yield probabilistic assessments. However, the correlation among variables, high-dimensional observations, and discrete degree of the evidence affects the diagnostic performance. This paper...
Business processes in production, logistics need to be monitored in order to comply with official regulations, to schedule, plan the production or transport route, to ensure quality, find errors, but also to optimize the process itself. Often this monitoring needs to be done in real-time, e.g. to be able to see a potential error, take corrective actions in time. To monitor only traditional Key Performance...
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...
Recently probabilistic principal component analysis (PPCA) has been used for process monitoring and fault diagnosis, which can model the process noise and can handle the problem of missing data in the probabilistic framework. Nevertheless, the missing data samples are treated as principal components in conventional PPCA method, which causes the estimation accuracy is largely influenced by data missing...
The safe and reliable supply of electricity for ensuring a continuously running process, and the feedback and data exchange from the one side to the other, is of crucial importance to the Oil & Gas Segment. It is typical that Transformers, HV, MV and LV distribution equipment as well as the wells, field compressor stations and central processing plants with their motors and pumps are physically...
Process Control Systems (PCSs) are the operating core of Critical Infrastructures (CIs). As such, anomaly detection has been an active research field to ensure CI normal operation. Previous approaches have leveraged network level data for anomaly detection, or have disregarded the existence of process disturbances, thus opening the possibility of mislabelling disturbances as attacks and vice versa...
Aiming at the multimode industrial process monitoring problem, this paper proposes a fault detection method based on local entropy principal component analysis (LEPCA) algorithm. Firstly, in order to deal with the multimode characteristic of operating data, k nearest neighbor Parzen window (kNN-Parzen) method is used to estimate each sample's local probability density. Then, a local relative density...
At present, more and more courses and exams are held in the college computer room, which leads to more complex operating environment and higher system requirements, so the systematic maintenance work is very difficult. In the article, we develope a control system by c# language, which combines with the actual usage of room and the blank space of the computer room management, aimed at focusing on monitoring...
This paper is the result of a literature review focusing on the application of process analytical technology (PAT) for the pharmaceutical industry in conjunction with the quality by design (QBD) framework. PAT and the QBD framework put forward by the FDA, offer a holistic approach to manufacturing pharmaceuticals, emphasising the understanding of process variables on the end products characteristics...
This paper studies the SPLAY open-source framework that facilitates the design, deployment and testing of large-scale distributed applications. A mechanism for automatic control of a virtualized testbed created in OpenStack running Ubuntu 14.04.3 was implemented. The SPLAY entities involved herein were the following: a controller and a modified version of the daemons without using the sandboxing concept...
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