|
Article information
2015 , Volume 20, ¹ 6, p.22-35
Dobrolubov I.P., Savchenko O.F., Alt V.V., Olshevskiy S.N., Klimenko D.N.
Modelling the process of optimal determination for the parameters of the conditions of internal combustion engine by measurement expert system
Goals and methods: The problem of improvement of the efficiency for internal combustion engine (ICE) in operational conditions as well as the identification of its technical condition with the help of the measurement expert system is discussed. The research and justification of the optimal method of detection of structural parameters of the engine, hidden in the high level of other components of the workflow was performed using known probabilistic methods of signal analysis, statistical methods of optimal signal processing on the background noise. Results: The modelling of process for optimal estimate of informative parameters was conducted using a priori data. These parameters describe the operating process of ICE, which include: 1) the amplitude of angular acceleration of the crankshaft measured within the angular interval of operation of the specific cylinder during the cycle; 2) the signal that describes the advance angle of fuel injection; 3) jointly measured ICE parameters. It was revealed that the estimation of the measured information parameters of the signals will be optimal when the requirement of standard deviation minimum for these parameters is met, and that is equivalent for minimum average risk criteria. Consider an optimal detection and measurement conditions for weak and strong interference amplitude of the angular acceleration of the crankshaft, measured in an angular range of operation of the cylinder in the cycle. It was found that in the case of a weak Gaussian noise (for example, the examination of four-cylinder engines) best estimate is equal to the measured value. In this case, a process corresponds to the measured center of gravity curve posterior probability density. Therefore it is advisable to use the signal accumulators and to distinguish the signals from the noise via filtration. Similar studies and conclusions are valid for the signal representing the advance fuel injection angle, as well as co-processing of the signal from the previous signal. It should, if possible, be used as a threshold (reference) values previously obtained from a priori statistical characteristics and parameters reflecting the different classes of states of the internal combustion engine (nominal, valid, pre-fault, fault). Conclusion: The numerical modelling of the optimal detection and measurement of the background noise using statistical methods allows creating the most effective block diagram of the measuring unit. It provides the desired regulatory and technical requirements for diagnosing ICE’s technical condition.
[full text]
Keywords: ICE, resource structure parameters, signal, discovering, measurement, likelihood function, threshold level, optimal solution rule
Author(s):
Dobrolubov Ivan Petrovich
Dr. , Professor
Office: Federal State Budgetary Educational Institution of Higher Education Novosibirsk State Agrarian University
Address: 630039, Russia, Novosibirsk, Dobrolyubova str., 160
Phone Office: (383) 267-39-44
E-mail: sof-oleg46@yandex.ru
SPIN-code: 2295-7662Savchenko Oleg Fedorovich
PhD. , Senior Scientist
Position: Leading research officer
Office: Federal state budgetary institution of science of the Siberian Federal scientific centre of agrobiotechnology the Russian Academy of Sciences
Address: 633501, Russia, Krasnoobsk, Dobrolyubova str., 160
Phone Office: (383) 348-39-62
E-mail: sof-oleg46@yandex.ru
SPIN-code: 8198-5827Alt Viktor Valentinovich
Dr. , Academician RAS, Professor
Position: Professor
Office: Federal state budgetary institution of science of the Siberian Federal scientific centre of agrobiotechnology of the Russian Academy of Sciences
Address: 633501, Russia, Krasnoobsk, Dobrolyubova str., 160
Phone Office: (383) 348-35-24
E-mail: sibfti.n@ngs.ru
SPIN-code: 6687-6684Olshevskiy Sergey Nikolaevich
PhD.
Position: Head of Laboratory
Office: Siberian Physical-Technical Institute of Agrarian Problems, Russian Academy of Agricultural Sciences
Address: 630501, Russia, Novosibirsk, Dobrolyubova str., 160
Phone Office: (383) 348-66-20
E-mail: ols@ngs.ru
Klimenko Denis Nikolaevich
PhD.
Position: Leading research officer
Office: Federal state budgetary institution of science of the Siberian Federal scientific centre of agrobiotechnology the Russian Academy of Sciences, leading researcher
Address: 633501, Russia, Krasnoobsk, Dobrolyubova str., 160
Phone Office: (383) 348-39-62
SPIN-code: 8541-6305 References:
1] Savchenko, O.F., Dobrolyubov, I.P., Alt, V.V. Design features and principles for the expert system determining the condition of internal combustion engine. Modern Methods, Measurement and Automation Facilities for Researching the Physical Processes in Agriculture:Collection of Science Papers. RASHN, Sib. Otdelenie, SibFTI. Novosibirsk; 1993: 59–73. (In Russ.)
[2] Dobrolyubov, I.P., Savchenko, O.F., Alt, V.V. Measurement expert systems for determining the condition of internal combustion engine. Pribory i Sistemy Upravleniya. 1998; (12):56–59. (In Russ.)
[3] Savchenko, O.F., Dobrolyubov, I.P. Classification of objects condition by statistical methods with measurement expert system. Methods and Technical Means for Researching the Physical Processes in Agriculture: Collection of Science Papers. RASHN, Sib. Otdelenie, SibFTI. Novosibirsk; 2001: 70–81. (In Russ.)
[4] Dobrolyubov, I.P. Frequency analysis of work processes in internal combustion engine with measurement expert system. Tractory i Sel’khozmashiny. 2004; (10):17–19. (In Russ.)
[5] Savchenko, O.F. Expertize of the technical condition of internal combustion engine based on data mining. Trudy GOSNITI. 2008; (101): 96–103. (In Russ.)
[6] Dobrolyubov, I.P. Expertize of the machinery’s condition by correlation methods. Papers of Intern. Conf. “Power Supply And Power Economy in Agriculture”. Moscow: GNU VIESKH; 2010; (1):447–451. (In Russ.)
[7] Dobrolyubov, I.P., Savchenko, O.F., Olshevskiy, S.N. Expertize of the condition of a diesel generator by statistical characteristics. Papers of Intern. Conf. “Power Supply and Power Economy in Agriculture”. Moscow: GNU VIESKH. 2010; (1):185–190. (In Russ.)
[8] Dobrolyubov, I.P., Savchenko, O.F. The choice of informative characteristics when using the expert measuring system of an engine. Measurement Techniques. 2005; 48(2):128–132.
[9] Dobrolyubov, I.P., Savchenko, O.F. Selection of complex indirect diagnostics parameters for measurement expert system of an internal combustion engine. Dvigatelestroyeniye. 2012; (2):30–33. (In Russ.)
[10] Dobrolyubov, I.P., Savchenko, O.F. Optimization of metrological supply for measurement expert systems of ICE. Papers of Intern. Conf. “Power Supply and Power Economy in Agriculture”. Moscow: GNU VIESKH. 2010; (1): 441–443. (In Russ.)
[11] Dobrolyubov, I.P. Increasing the precision of measurements of the characteristics of internal combustion engines. Measurement Techniques. 2007; 50(2): 173–178.
[12] Dobrolyubov, I.P., Savchenko, O.F., Olshevskiy, S.N. Optimization of determining and measurement of ICE parameters by measurement expert system. Polzunovsky Vestnik. 2(2):275–279. (In Russ.)
[13] Dobrolyubov, I.P., Savchenko, O.F., Alt, V.V., Olshevskiy, S.N. Development of a modifiable computer model for internal combustion engine. Computational Technologies. 2013; 18(6):54–61. (In Russ.)
[14] Dobrolyubov, I.P., Savchenko, O.F., Olshevskiy, S.N. Principles to design a computer dynamic model of autotractor ICE. Bulletin of NSAU. 2014; (2): 141–146. (In Russ.)
[15] Savchenko, O.F., Olshevskiy, S.N., Dobrolyubov, I.P. Information technology for determining the technical condition of tractor’s engine. Agriculture Mechanization and Electrification. 2010; (11):27–30. (In Russ.)
[16] Alt, V.V., Dobrolyubov, I.P., Savchenko, O.F., Olshevskiy, S.N. Technical support for measuring expert systems for machinery and devices in agriculture. Novosibirsk: GNU SibFTI SO RASKHN; 2013: 523. (In Russ.)
[17] I.P. Dobrolyubov, V.V. Alt, O.F. Savchenko, S.N. Olshevskiy Patent RU 2428672 Ñ2. MPK G01M15/04. Method of determining the technical condition of ICE and expert system for its implementation. Bulletin No. 25. 10.09.2011. (In Russ.)
[18] Falkovich, S.E., Homyakov, E.N. Statistical theory of measurement systems. Ìoscow: Radio I Svyaz; 1981: 288. (In Russ.)
[19] Shirman, Y.D., Manzhos, V.N. Theory and engineering for processing the radiolocation information with background noise. Ìoscow: Radio i Svyaz; 1981: 416. (In Russ.)
[20] Cooper, G.R., McGillem, C.D. Probabilistic methods for signal and system analysis. New York: Oxford University Press; 1999: 496.
Bibliography link:
Dobrolubov I.P., Savchenko O.F., Alt V.V., Olshevskiy S.N., Klimenko D.N. Modelling the process of optimal determination for the parameters of the conditions of internal combustion engine by measurement expert system // Computational technologies. 2015. V. 20. ¹ 6. P. 22-35
|
