scholarly journals Identification of the operating parameters of a complex technical system important from the operational potential point of view

Author(s):  
Michał Pająk

The most important processes which take place in a technical system are the operation and service processes. Knowing the actual technical state of the system, it is possible to make a decision whether the system can operate or should be serviced. The efficiency of the system operation and the possibility of the failure occurrence strongly depend on the relevancy of this decision. The technical state of the system is described by the system features affected by the time histories of its operational parameters. Unfortunately, the amount of the operational parameters can be significant. Therefore, it becomes purposeful to identify the operational parameters significant from the system technical state evaluation point of view. In the article, the universal method of the significant operational parameters identification and the research carried out in a real industrial system to verify its correctness and the accuracy are presented.

2020 ◽  
Vol 18 (3) ◽  
pp. 453
Author(s):  
Michał Pająk

During the operation process of a system its technical state is changed. The changes take place because of the wearing factors impact. The impact depends on the flow and intensity of the operation process what is characterized by the time histories of the working parameters. Simultaneously, the changes of the technical state are correlated with the changes of the amount of the operational potential included in a system. In order to avoid the inability state occurrence the amount of this potential should be higher than the boundary value. The amount of the operational potential included in a system is determined by the values of the cardinal features of it but in the case of the real technical system the values cannot always be measured. Therefore, the amount of the operational potential and the technical state of the system cannot always be determined online. To solve this problem the model of the operational potential consumption process was created and presented in the paper. The model uses artificial intelligence techniques to calculate the change of the operational potential amount by determining the changes of the cardinal features of the system on the basis of the time histories of the working parameters. The verification of the model quality was performed using the pulverized boiler OP-650k-040 operating in the power plant. The description of the conducted research and the results of the verification were presented in the end of the paper proving the adequacy of the model implementation in the case of industrial objects.


2021 ◽  
Vol 351 ◽  
pp. 01001
Author(s):  
Michał Pająk

One of the main objectives of technical diagnostics is identification the technical state of the machine. The technical state is described by the values of the object cardinal features. Unfortunately, during the operation process, some of the values of these features cannot be measured. It is proposed to estimate the values of the cardinal features based on their initial values and the influence of the forcing factors described by the time histories of the parameters of the operation process. Due to the limited knowledge of the correlation between operational parameters and forcing factors it was modelled in form of fuzzy Mamdani models. In the paper universal automatic method of the models generation was presented. Thanks to it, it was possible to generate the model of the technical state changes in automatic manner. The results of the usage of the generated model in case of real complex technical system can be found at the end of the paper.


2016 ◽  
Vol 23 (4) ◽  
pp. 105-111 ◽  
Author(s):  
Łukasz Muślewski ◽  
Michał Pająk ◽  
Bogdan Landowski ◽  
Bogdan Żół Żółtowski

Abstract Ship large-power steam boiler may serve as an example of complex critical technical system. A basis for rational control of operation of such system is knowledge on its capability of fulfilling the tasks to which it was intended. In order to make it possible to apply computer aiding to operational decision-making the capability should be described analytically. In this paper it was proposed to express the capability of ship steam boiler ( considered a complex system) to perform service tasks, by calculating components of its usability potential in a given instant t. To this end , was distinguished a set of steam boiler fundamental features which formulate space of its technical states. Values and characteristic intervals of the features were defined and this way sub-spaces of serviceability and non-serviceability states of the object in question were determined. Next, in the considered space, technical state of the boiler and its usability potential was determined. Owing to this it become possible to quantitatively express the steam boiler functioning capability which served as a basis for elaborating an algorithm for controlling the operational processes of a complex technical system under action. In this paper is also described a way of application of the presented method to calculation of ship steam boiler usability potential, which may be especially instrumental in the case of operational control of the boilers of the kind , equipped with interstage reheaters, i.e. those operating with high values of operational parameters.


Author(s):  
Olga Leptiukhova ◽  
Marija Utkina

For more than half a century bicycle transport demonstrates its effectiveness as one of the elements of the transport network of the city. Currently, vehicles with low-power motors such as electric bicycle, electric scooter, gyrometer, segway, wheelbarrow, scooter motor and others are gaining people's attention. These vehicles can be combined into a group of low-speed individual vehicles (hereinafter - NITS) with similar re-quirements for the operational parameters of urban infrastructure. From the urban point of view, the interest in NITC is that the number of its users has increased significantly in recent years. The article presents the results of a sociological survey of residents of Serpukhov, allowing to assess the current and potential readi-ness of the population to use NITC. The growing popularity of NITC has led to an increase in the environmen-tal and economic effect, which is manifested at a particular level of development of the movement on NITC. The ecological and economic effect of the use of NITC has an extremely positive impact on the improvement of the urban environment. This article provides a list of indicators that reflect the growth in the standards of living of society from movement by the NITC, and the calculation of one of them - the increase in entrepre-neurial activity on the streets with increased traffic to the NITC. Indicators are necessary for calculation of complex criterion of efficiency and safety of street network due to development of the movement by NITC. The result will allow public authorities authorized to make decisions on the strategy of transport policy of cities to quantify the ratio of economic benefits from the development of infrastructure of the NITC with the cost of its construction and operation.


Author(s):  
A.R. ABLAEV ◽  
E.V. KHROMOV ◽  
R.R. ABLAEV ◽  
A.P. POLYAKOV

The article investigates the issue of optimization of a complex technical system at the stage of its design using a heuristic–phenomenological approach. The analysis of the principles of complex optimization of complex technical systems is carried out. A four–level structure for the synthesis of methodological, informational and software support for complex optimization of complex technical systems is proposed, which will allow controlling the programmable parameters of complex technical systems at each stage of their design.


Author(s):  
Carliss Y. Baldwin

How do firms create and capture value in large technical systems? In this paper, I argue that the points of both value creation and value capture are the system’s bottlenecks. Bottlenecks arise first as important technical problems to be solved. Once the problem is solved, Then the solution in combination with organizational boundaries and property rights can be used to capture a stream of rents. The tools a firm can use to manage bottlenecks are, first, an understanding first of the technical architecture of the system; and, second, an understanding of the industry architecture in which the technical system is embedded. Although these tools involve disparate bodies of knowledge, they must be used in tandem to achieve maximum effect. Dynamic architectural capabilities provide managers with the ability to see a complex technical system in an abstract way and change the system’s structure to manage bottlenecks and modules in conjunction with the firm’s organizational boundaries and property rights.


2012 ◽  
Vol 178-181 ◽  
pp. 2285-2289
Author(s):  
Hai Tao Li

Based on fuzzy analytic hierarchy process, The model of bridge health evaluation is established using the quantification relations between the bridge technical state evaluation grade and degree of membership function of bridge health evaluation, making use of the computed result of various index of degree of membership value and weight, obtains all levels of fuzzy evaluation collection. According to the maximum membership principles to evaluate the technical state grade of bridge structure the corresponding level, and with its result to instruct the decision-making of bridge maintenance and strengthening.


2019 ◽  
Vol 26 ◽  
pp. 36-46
Author(s):  
S. KONOVALOV ◽  

In the proposed article, various methods of constructing an artificial neural network as one of the components of a hybrid expert system for diagnosis were investigated. A review of foreign literature in recent years was conducted, where hybrid expert systems were considered as an integral part of complex technical systems in the field of security. The advantages and disadvantages of artificial neural networks are listed, and the main problems in creating hybrid expert systems for diagnostics are indicated, proving the relevance of further development of artificial neural networks for hybrid expert systems. The approaches to the analysis of natural language sentences, which are used for the work of hybrid expert systems with artificial neural networks, are considered. A bulletin board is shown, its structure and principle of operation are described. The structure of the bulletin board is divided into levels and sublevels. At sublevels, a confidence factor is applied. The dependence of the values of the confidence factor on the fulfillment of a particular condition is shown. The links between the levels and sublevels of the bulletin board are also described. As an artificial neural network architecture, the «key-threshold» model is used, the rule of neuron operation is shown. In addition, an artificial neural network has the property of training, based on the application of the penalty property, which is able to calculate depending on the accident situation. The behavior of a complex technical system, as well as its faulty states, are modeled using a model that describes the structure and behavior of a given system. To optimize the data of a complex technical system, an evolutionary algorithm is used to minimize the objective function. Solutions to the optimization problem consist of Pareto solution vectors. Optimization and training tasks are solved by using the Hopfield network. In general, a hybrid expert system is described using semantic networks, which consist of vertices and edges. The reference model of a complex technical system is stored in the knowledge base and updated during the acquisition of new knowledge. In an emergency, or about its premise, with the help of neural networks, a search is made for the cause and the control action necessary to eliminate the accident. The considered approaches, interacting with each other, can improve the operation of diagnostic artificial neural networks in the case of emergency management, showing more accurate data in a short time. In addition, the use of such a network for analyzing the state of health, as well as forecasting based on diagnostic data using the example of a complex technical system, is presented.


Author(s):  
Qian Yu ◽  
Petra Helmholz ◽  
David Belton

In recent years, 3D city models are in high demand by many public and private organisations, and the steadily growing capacity in both quality and quantity are increasing demand. The quality evaluation of these 3D models is a relevant issue both from the scientific and practical points of view. In this paper, we present a method for the quality evaluation of 3D building models which are reconstructed automatically from terrestrial laser scanning (TLS) data based on an attributed building grammar. The entire evaluation process has been performed in all the three dimensions in terms of completeness and correctness of the reconstruction. Six quality measures are introduced to apply on four datasets of reconstructed building models in order to describe the quality of the automatic reconstruction, and also are assessed on their validity from the evaluation point of view.


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