Methodology of structural stability management for industrial enterprises

The article looks into the formation of a new methodology to provide company stability under growing influence of the external factors which raise the level of management uncertainty. Modern approach to management based on intellectualization which increases requirements to tools for assessment and forecasting all systems of the industrial enterprise, containing the methodological drawbacks statistic and mathematical nature which cause the information loss. Equilibrium state of the enterprise as a system is proposed to be used as a target objective and it means application of cenology theory tools Cenological approach to assessment and to management of equilibrium of systems of an industrial enterprise which allows solving problems of complexity and stochasticity of systems using relevant mathematical research apparatus and system of constraints is grounded in the article. The significant part of the enterprise systems belongs to cenotic type because they are a complex structure of its elements where classical statistic assessment to describe the system “as a whole” is not applicable. The results of economic and technical structures of a number of industrial enterprises which demonstrate the high results of coenoses theory application in company stability management are given in the conclusion.peer-reviewe

Dependability Issues for Intelligent Transmitters and Reliability Pattern Proposal

International audienceNew technologies make way for "intelligent" transmitters by integrating new functionalities: error measurement corrections, self-adjustment, self-diagnosis for measurement and transmitter status, on-line reconfiguration, and digital bidirectional communication. Industrialists are taking advantage of more accurate measurements, cost reductions and facilities. For industrial risk prevention, new dependability issues are arising. Functionalities such as self-diagnosis and digital communication seem to be in favour of control systems availability. On the other hand, the high amount of electronics and programmable units implies new failure causes and modes which are usually not well known. In this paper, dependability issues for intelligent transmitters are discussed and a reliability model is proposed. By using a Goal Tree - Success Tree (GTST) technique, both functional and material aspects of an intelligent transmitter pattern are included. Material-material, material-function, and function-function relationships are then demonstrated in Master Logic Diagrams (MLD). These results are proposed as support for further case studies. For example, the impact of any material failure on any function, and the reliability of the main functions, can be assessed using this kind of model. Other dependability tools can take advantage of this reliability pattern, for example when the behavioural aspects of complex systems are undetermined

Dependability Evaluation and Supervision in Thermal Power Plants

In order to improve the productivity and the consistency of its maintenance strategies, the industrial world is based on different techniques and tools developed to ensure safe operation and the supervision of production systems. In fact, dependability evaluation is crucial to controlling the risks associated with system failure, and for this reason, it is one of the fundamental steps in automated system design. In this paper, we present firstly the basic concepts for the study of dependability as well as functional systems analysis. Thus, we present the method SADT (Structured Analysis Design technique). Given the ineffectiveness of methods that are currently exploited are not appropriate because the level of complexity of such industrial systems, we propose in the first the Safe-SADT method which allows the explicit formalization of functional interaction, the identification of the characteristic values affecting complex system dependability, the quantification of RAMS parameters (Reliability, Availability, Maintainability, and Safety) for the system’s operational architecture. Secondly, a methodology for designing supervisory production systems has been presented and has been applied on an example of a SCADA (supervisory control and data acquisition) system of a thermal power plant. Finally, a model of operating safety and supervision of a production system is proposed

Capteurs Intelligents : Nouvelles Technologies et Nouvelles Problématiques pour la Sûreté de Fonctionnement

New technology allows intelligent sensors by integrating new functionalities: error measure correction, self-calibration, self-diagnosis of measures and sensor status, reconfiguration, digital communication. Industrialists take advantage of more accurate measurements, cost reductions and use facilities. For industrial safety, new dependability issues appear. Some functionalities as self-diagnosis and digital communication seem to be in favour of control systems availability. On the other hand, the high amount of electronics and programmable units implies new failure causes and modes. Availability assessments of intelligent sensors are quite low in literature. Moreover, “intelligent” functionalities are usually not taken into account. In this paper, a discussion about dependability issues and modelling is presented. An approach is proposed. Both functional and structural decompositions of the system are included which allow representing sensor functionalities and types of dependencies. Failures make up the third part of the model. First analyses show the consequences of these failures on sensor functions and the corresponding failure modes during time. An infrared gas sensor is used for example. Some tools for availability assessment of complex systems can take advantage of these results, especially when dysfunctional behaviour is not well known