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In this paper, after a brief introduction on the proposed plug-and-play (PnP) process monitoring and control system, two online configuration approaches are proposed for the observer-based residual generator. Firstly, an adaptive residual generator is developed based on the adaptive observer scheme. Aiming at higher feasibility and reliability of industrial application, an iterative learning approach...
This paper will describe recent developments in the practical application of multivariate Statistical Process Control (SPC) techniques to improve and automate anomaly detection in complex systems as part of a comprehensive Condition Based Maintenance (CBM) system. The CBM implementation process will be broken down into phases from planning to operation. The operational CBM system includes data acquisition,...
This paper presents new approaches for construction of knowledge-oriented control systems. The AND/OR-graph model is improved for control rules visualization and interactive processing. The knowledge-oriented system for the dispatcher that regulates the safe operation with electrical equipment made it possible to increase the reliability of decisions taken by the dispatcher by 12%.
The paper describes Web SCADA Systems, designed by the authors, for monitoring and automation of control processes in the specialized pyrolysis complexes (SPC) for municipal polymeric waste (MPW) utilization. The functional structure and main components of the generalized SPC Web SCADA system are given. The specific example of the proposed SPC Web SCADA system application is also presented. Considerable...
In this paper, a wavelet-based statistical method is proposed for health monitoring and fault diagnosis. This method integrates the statistical process control technology and the discrete wavelet transform. A statistical indicator based on discrete wavelet transform is constructed, and the X-bar chart is used to monitor the indicator. The fault frequency can be identified in the Hilbert envelope spectrum...
Big data analytics is the journey to turn data into insights for more informed business and operational decisions. As the Chemical Engineering community is collecting more data (volume) from different sources (variety), this journey becomes more challenging in terms of using the right data and the right tools (analytics) to make the right decisions in real-time (velocity). This paper highlights recent...
Fault prognostic in various levels of production of semiconductor chips is considered to be a great challenge. To reduce yield loss during the manufacturing process, tool abnormalities should be detected as early as possible during process monitoring. In this paper, we propose a novel fault prognostic method based on Bayesian networks. The network is designed such that it can process both discrete...
The Internet of Things (IoT) has moved beyond the hype, with promising applications materializing and industries transforming through digitalization as well as servitization—that is, delivering a service as an integral part of a product. Since the application spread in today’s IoT is wide and is typically structured in market-oriented groups, a system designer needs IoT system design patterns to assist...
A short circuit between the stator winding turns is one of the most common faults affecting electrical motors. It can rapidly evolve to more serious faults causing significant degradation of the performance of the machine. This paper investigates inter-turns short circuit fault diagnosis in brushless direct-current (BLDC) motors. A fault diagnosis approach based on a super twisting sliding mode observer...
The demand for wireless sensor networks (WSNs) applied to industrial process monitoring and control should increase as the forth industrial revolution gathers pace. Flexibility and low cost make them the perfect choice for the modern 21st century manufacturing plants. In this paper we describe the tests done with a WSN in an industrial environment and analyze the results to ascertain how much interference...
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...
This paper describes successful and cost effective design & implementation of PC-based SCADA training system for the natural gas transmission and distribution industry. The design provides robust and automated environment for centralized control of a geographically scattered process. Microcontroller based data acquisition (DAQ) control units for distributed data processing are designed and serially...
This paper presents a remote monitoring system based on the SCADA model (Supervisory Control And Data Acquisition), specifically developed for automated production processes in a food company. The goals defined for this project were the monitoring of three production lines and six silos of raw materials, along with the indication / evaluation of three performance measures demanded by the company:...
Wireless sensor networks are employed in diverse range and are growing area of research and development due to the importance and necessity of applications. Wireless sensor networks depend on batteries with limited power and cannot be recharged or replaced often. Extending the lifetime of wireless sensor networks is a key issue that is being discussed in recent years. The lifetime of the wireless...
Eefficient use of energy is the need of an hour. Improving energy efficiency requires understanding of the usage patterns and practices. The outage is a wakeup call to modernize the infrastructure in the country to the collapse of the grids that knocked out power. When started analyzing on industry estimates, came to know that nearly 30 percent of the power generated in India is wasted in transmission...
In the modern process automation industry control valves with digital positioners have the ability to communicate with the process control system. Additional important functions (automatic start-up and control loop self-optimization, alarm signals, detailed fault diagnosis) lead to a process integrated maintenance and more process plant reliability. In this paper, these possibilities and a new diagnostic...
By enabling diverse and large-scale transducers, large-area electronics raises the potential for electronic systems to interact much more extensively with the physical world than is possible today. This can substantially expand the scope of applications, both in number and in value. But first, translation into applications requires a base of system functions (instrumentation, computation, power management,...
Clean drinking water is a basic human need. Automation serves a vital role in the safe and reliable operation of a water treatment plant in providing safe drinking water. This paper focuses on an innovative and intelligent control and monitoring system for Water Treatment Plant by using "Raspberry Pi" as an effective alternative to PLCs for the automation of small water treatment plants...
The present paper intends to highlight the utility and importance of programmable automates in the control of the industrial processes. The paper presents the programming of a Siemens CPU 313C PLC in Ladder Diagram language and the making of a graphical interface for an interactive simulation with the help of a touch screen HMI of a concrete plant. The application allows the control and the simulation...
The capabilities of Cyber-Physical Systems (CPSs) are increasingly being extended towards new composite services deployed across a range of smart sensing and controlling devices. These services enable the emergence of multiple end-to-end cyber-physical scenarios, formed dynamically based on their demands, e.g., disaster recovery systems. In such scenarios, each cyber-physical flow may be composed...
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