Paweł Wnuk

Advanced monitoring and diagnostic system 'AMandD'

Abstract The paper presents structure and functional properties of the Advanced Monitoring and Diagnostic System ‘AMandD’ dedicated for large scale industrial processes. The system arose within the framework of research project ‘CHEM’ of 5th European Framework Program. Applied in the system up-to-date algorithms of modelling methods and fault detection and isolation were described in the paper. Also a brief description of used IT solutions was presented. As a conclusion, the further directions of development and researches were mentioned.

CURRENT DIAGNOSTICS OF THE EVAPORATION STATION

Abstract The paper presents structure and algorithms of the system of current diagnosis of the evaporation station in the Lublin Sugar Factory. The applied fault detection algorithms are based on the set of partial parametric models, the set of heuristic dependencies describing process behaviour and the hardware redundancy. The isolation algorithm implements fuzzy reasoning based on the diagnostic rules given by the expert. All the diagnostic algorithms are carried out by the modules of Advanced Monitoring and Diagnostic System AMandD. The achieved fault detectability and isolability analysis and some test results are also presented.

An Analysis of Measurement Signals in Ventricle Assist Device in Terms of Their Diagnostic Usefulness

Abstract In this paper an analysis of the available measurement signals in external, pulsatile ventricular assist pump is carried out to evaluate their diagnostic usefulness, and to propose diagnostic system for such devices. Firstly, short description of device and used methodology is provided. Then a full set of diagnostic test is described. Next, diagnostic matrixes are defined. Paper ends with an analysis of the influence of measurements set on accuracy of diagnostic system.

Introduction to the DiaSter System

The DiaSter software platform is a set of programs working together to realize functionality related to process modeling, variables processing, fault detection and diagnosis, advanced control, and decision support. This chapter begins with short descriptions of main applications of the DiaSter system as a convenient tool to realize multiple functions. Then a more detailed description of the DiaSter platform is given, starting with a presentation of the information model handled in the system. The possibility of data exchange between modules, different work modes and system extension mechanisms are presented. Finally, all main DiaSter modules are described, including off-line and on-line variables processing and visualization.

The Use of Evolutionary Optimization in Fuzzy TSK Model Identification

This paper is focused on identification of fuzzy TSK model using evolutionary algorithms. The use of genetic algorithm with newly developed genetic operators is described. Proposed solution gives a possibility to have fully automatic and homogeneous algorithm to identify all structure and parameters of TSK model in one run. There are also given some remarks about the use another evolutionary algorithms like Particle Swarm optimization are also given. Quality index, which takes into account TSK model specific and allows to proper estimation of consequent coefficients for all rules is proposed. An example of dynamic model identification for pneumatic drive is included.

Identification of parametric models with a priori knowledge of process properties

Abstract An approach to estimation of a parametric discrete-time model of a process in the case of some a priori knowledge of the investigated process properties is presented. The knowledge of plant properties is introduced in the form of linear bounds, which can be determined for the coefficient vector of the parametric model studied. The approach yields special biased estimation of model coefficients that preserves demanded properties. A formula for estimation of the model coefficients is derived and combined with a recursive scheme determined for minimization of the sum of absolute model errors. The estimation problem of a model with known static gains of inputs is discussed and proper formulas are derived. This approach can overcome the non-identifiability problem which has been observed during estimation based on measurements recorded in industrial closed-loop control systems. The application of the proposed approach to estimation of a model for an industrial plant (a water injector into the steam flow in a power plant) is presented and discussed.

The Idea of On-line Diagnostics as a Method of Cyberattack Recognition

Cybercrime becomes a real problem in the everyday operation of production plants, industrial control systems, and other technical devices. The purpose of this article is to demonstrate that on-line diagnostics is an effective way to recognize cyberattacks. The security assurance system against cyberattacks for Industrial Control Systems is layered. The article discusses the possibility of the usage of known methods of process diagnostics to recognize cyberattacks in the Industrial Control Systems as an additional protection layer. Cyberattacks manifest with a variety of changes in the operation of the control system and the process flow deviating from its normal state. The discussed concept is to detect such changes based on models, evaluate them and on this basis conclude about the primary reason of abnormal operation, including the detection of cyberattack. Simple examples of such detection system are also presented.

Efficiency Analysis of Relational and Nonrelational Databases in Application to Archiving Measurements

Advanced techniques of monitoring, diagnostics or remote supervision of technical devices based on current and archival measurements are more often used for simple and chip devices. It raises the need to collect and store measurements from such devices, preferably in the cloud system. This paper analyses performance of different, SQL as well as NoSQL databases used as a storage layer for such system, designed to keep and process time series. An efficiency in sense of disk usage and processing time for three most popular open source database engines (MySQL, Postgres, MongoDB) was described.

Supervisory control, diagnostics and condition monitoring for Religa Heart DUO heart assistance device

In the paper the idea of advanced control, including automatic reconfiguration in case of single fault presence, diagnostics and monitoring of all components of ventricle assist system is given. Presented solution was prepared for most recent series of controllers working with pneumatic, pulsatile VAD system. The general concept of realization of mentioned above tasks was discussed, as well as the current state of implementation was summarized.

Mechatronics in monitoring, simulation and diagnostics of industrial and biological processes

The paper describes a number of research projects of the Faculty of Mechatronics of Warsaw University of Technology in order to illustrate the use of common mechatronics and optomechatronics approach in solving multidisciplinary technical problems. Projects on sensors development, measurement and industrial control systems, multimodal data capture and advance systems for monitoring and diagnostics of industrial processes are presented and discussed.