Analysis of compressor performance using data-driven machine learning techniques

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Detalles Bibliográficos
Publicado en:	Journal of Engineering and Applied Science vol. 72, no. 1 (Dec 2025), p. 170
Autor Principal:	Hujare, Pravin
Outros autores:	Sanap, Yashraj, Ingle, Pritibala, Hujare, Deepak, Chavan, Umesh, Atre, Varad
Publicado:	Springer Nature B.V.
Materias:	Accuracy Heat transfer Design optimization Simulation Inlet pressure Verification Artificial intelligence Mathematical models Matlab Genetic algorithms Systems design Turbocompressors Neural networks Support vector machines Reciprocating compressors Engineering Volumetric efficiency Pressure ratio Machine learning Predictions Coolers Efficiency Inlet temperature Parameter estimation
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