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

Pająk, Michał

doi:10.1177/0959651817735771

Cited by 9 publications

(9 citation statements)

References 16 publications

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“…Hence, some numerical approaches, such as genetic algorithm, 29 partical swarm optimization (PSO) 30 and sequence quadratic programming (SQP), 26 can be used to address such a problem for technical systems. 31 Therein, the objective function and the constraints are twice continuously differentiable for SQP. 25,26,32 It solves a sequence of optimization problems, each of which optimizes a quadratic model of the objective subject to a linearization of the constraints.…”

Section: Methodsmentioning

confidence: 99%

Optimization of night mechanical ventilation strategy in summer for cooling energy saving based on inverse problem method

Zhang

Wang

2018

Proceedings of the Institution of Mechanical Engineers, Part A:

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Night ventilation has great energy saving potentials for public buildings in summer. However, night mechanical ventilation inevitably causes more fan energy consumptions, even though it can reduce the cooling loads for the next day and save the air conditioning energy consumption correspondingly. Thus the optimization of night mechanical ventilation strategy is highly significant for building energy efficiency. In this paper, the simplified two-plate room model is used and the optimization model of the mechanical ventilation and air conditioning system is established. To minimize the total energy consumption, the optimal night ventilation strategy is determined through inverse problem method. Taking an office room in Beijing as the illustrative example, the results show that the optimal air exchange rate for night mechanical ventilation is much higher than the traditional value (ACH ¼ 0.5 h À1) and it highly depends on the indoor-outdoor air temperature difference and cooling load demands. Moreover, the total electricity usage amount can decline from 210 kWh to 111 kWh after optimization, reduced by about 47% in the whole summer season. It also indicates that the energy saving effect of night ventilation mainly derives from the cooling storage and load shifting of building internal walls. Compared to traditional ventilation strategy, the energy saving ratio increases with increasing thermal conductivity and specific heat of building internal walls. This work can provide guidance for practical ventilation system optimization design and operation strategy determination.

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Section: Methodsmentioning

confidence: 99%

Optimization of night mechanical ventilation strategy in summer for cooling energy saving based on inverse problem method

Zhang

Wang

2018

Proceedings of the Institution of Mechanical Engineers, Part A:

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“…It was decided that the considered models will be constructed and verified using the measurement collections recorded during the conducted operational test, subsequently analyzed and transformed to the form of Eq. (5) according to the method proposed by the author in the papers [29,30]…”

Section: The Idea Of the Fuzzy Model Of The Operational Potential Conmentioning

confidence: 99%

“…Subsequently, according to the method proposed by the author [30], the most significant working parameters in term of the operational potential change have been selected. For deviation q3 parameters 3, 12 and 17 have been selected and so have, for deviation q4, parameters 1, 13, 14 and 15; for deviation q5 parameters 8 and 10 are selected and so are, for deviation q8, parameters 17 and 18.…”

Section: The Performed Industrial Researchmentioning

confidence: 99%

Fuzzy Model of the Operational Potential Consumption Process of a Complex Technical System

Pająk

2020

FU Mech Eng

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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.

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“…However, this measure should increase along with an increase in the distance of signals. For this reason, expression (5) was accepted as a measure of the distance [33]. where δ(vs i , vs j ) is the distance between signals vs i and vs j in space L 2 , and is the normalized mutual correlation function.…”

Section: Vibration Signal Time-domain Analysismentioning

confidence: 99%

“…In the cloud, regions of points related to the ability and inability states can be observed. In order to eliminate the problems arising from irregular and discontinuous distribution of the measured points in the space, elements of the theory of fuzzy sets are widely used [33,35,54]. Moreover, it was noticed that identification of regions is a similar issue to image recognition, where the fuzzy clustering implementation brings very good results [19,24].…”

Section: Fuzzy Classification Of Vibration Signalsmentioning

confidence: 99%

Fuzzy Identification of The Reliability State of The Mine Detecting Ship Propulsion System

Pająk

Muślewski

Landowski

et al. 2019

Polish Maritime Research

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The study presents the evaluation and comparative analysis of engine shaft line performance in maritime transport ships of the same type. During its operation, a technical system performs functions for which it was designed. It goes through different states. Dynamic state changes of a rotational system can be identified by means of its vibration measurement. For this purpose, a research was carried out which involved recording vibrations of the analysed rotational systems. The recordings were used for calculating selected characteristics in the time-domain, where one of the most unique is the value of the normalized mutual correlation function. On the basis of the concentration values, the characteristics which unambiguously determine the ability state were selected for further studies. Then an identification method for rotational system non-coaxiality was proposed. The method involves using fuzzy clustering. According to this method the values of input signal characteristics were used to formulate fuzzy clusters of system ability and inability states. The method can be used for identifying the current state of the system. The study presents the results of the application of this method in engine turbine shaft lines of minesweepers, with the rotational system selected as an example. It needs to be noted that the efficiency of identifying the operating state of the system with this method is higher than with other methods described in the literature by authors who deal with this issue. The research results have a significant impact on the evaluation of mechanical properties of the studied objects and directly affect operational states of mechanical systems, including those installed in minesweepers, thus determining their reliability.

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

Cited by 9 publications

References 16 publications

Optimization of night mechanical ventilation strategy in summer for cooling energy saving based on inverse problem method

Optimization of night mechanical ventilation strategy in summer for cooling energy saving based on inverse problem method

Fuzzy Model of the Operational Potential Consumption Process of a Complex Technical System

Fuzzy Identification of The Reliability State of The Mine Detecting Ship Propulsion System

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