Title

Decision Support System for Identifying Technical Condition of Combustion Engine

Journal title

Archives of Acoustics

Yearbook

2016

Volume

vol. 41

Issue

No 3

Authors

Deptuła, Adam ; Osiński, Piotr ; Radziwanowska, Urszula

Keywords

game graphs ; acoustic diagnostics ; combustion engine

Divisions of PAS

Nauki Techniczne

Coverage

449-460

Publisher

Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics

Date

2016

Type

Artykuły / Articles

Identifier

DOI: 10.1515/aoa-2016-0046

Source

Archives of Acoustics; 2016; vol. 41; No 3; 449-460

References

Adaileh (2013), Engine Fault Diagnosis Using Acoustic Signals and, Applied Mechanics Materials, 295. ; Barelli (2009), Diagnosis of internal combustion engine through vibration and acoustic pressure non - intrusive measurements Thermal, Applied Engineering, 29, 1707, doi.org/10.1016/j.applthermaleng.2008.07.025 ; Carlucci (2006), Analysis of the relation between injection parameter variation and block vibration of an internal combustion diesel engine of and, Journal Sound Vibration, 295. ; Deptula (2014), Application of multi - valued weighting logical functions in the analysis of a degree of importance of construction parameters on the example of hydraulic valves of and Engineering University Press Zielona Góra ISSN, International Journal Applied Mechanics, 19, 539. ; Wu (2006), Continuous wavelet transform technique for fault signal diagnosis of internal combustion engines, International, 39. ; Deptula (2011), Application of dependence graphs and game trees for decision decomposition for machine systems of Automation Mobile Robotics & Intelligent Systems, Journal, 5, 17. ; Wu (2009), An expert system for fault diagnos is in internal combustion engines using wavelet packet transform and neuralnetwork Systems with Applications, Expert, 36. ; Głowacz (2010), Diagnostics of synchronous motor based on analysis of acoustic signals with application of LPCC and nearest mean classifier with cosine distance of Metallurgy and Materials, Archives, 55, 563. ; Zhen (2013), Acoustic measurements for the combustion diagnosis of diesel engine fuelled with biodiesels, Sci Technol, 24, 13. ; Osiński (2013), Discrete optimization of a gear pump after tooth root under cutting by means of multi - valued logic trees of Civil and Mechanical Engineering, Archives, 13, 422. ; Osiński (2013), Assessment of energetistic measuring techniques and their application to diagnosis of acoustic condition of hydraulic machinery and equipment of Civil and Mechanical Engineering http dx doi org, Archives, 13, 313, doi.org/10.10167j.acme.2013.03.001 ; Elamin (2010), Diesel Engine Injector Faults Detection Using Acoustic Emissions Technique Applied, Modern Science, 4, 9. ; Wu (2009), An automotive generator fault diagnosis system using discrete wavelet transform and artificial neural network Systems with Applications, Expert, 36. ; Głowacz (2014), Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K - nearest Neighbor Classifier of, Archives Acoustics, 39, 189. ; Deptula (2014), Decision optimization of machine sets with taking in to consideration logical tree minimization of design guide lines of and Engineering University Press Zielona Góra ISSN, International Journal Applied Mechanics, 19, 549. ; Głowacz (2013), Detection of synchronous motor inter - turn faults based on spectral analysis of park ' s vector of Metallurgy and Materials, Archives, 58. ; Divina (2005), Handling Continuous Attributes in an Evolutionary Inductive Learner Transactions on Evolutionary Computation, IEEE, 9, 1. ; Sobański (2015), Faults diagnosis and control in a low - cost fault - tolerant induction motor drive system and Computers in Simulation http dx doi org, Mathematics, doi.org/10.1016/j.matcom.2015.10.012 ; Ranachowski (2005), Fault diagnostics of the fuel injection system of a medium power maritime diesel engine with application of acoustic signal of, Archives Acoustics, 30, 465. ; Głowacz (2015), Recognition of acoustic signals of synchronous motors with the use of MoFS and selected classifiers, Measurement Science Review, 15, 167175, doi.org/10.1515/msr-2015-0024