Chapter 7 Prediction of compressor performance using artificial neural network
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C. Karthikeyan
Abstract
Compressors are essential to many industrial processes, including the provision of compressed air for pneumatic tools, driving refrigeration cycles, and transporting gases through pipelines. With an emphasis on the principles of fluid machinery and the application of artificial neural networks for the prediction of compressor performance, this chapter offers a complete overview of compressor applications across a variety of industries. It starts by describing several compressor types and their basic operating principles. The discussion then moves on to a variety of industrial uses, including compressed air generation, refrigeration, air conditioning, gas transportation, and chemical synthesis. Additionally, it explores the difficulties and opportunities associated with using compressors in industrial settings. This chapter also discusses how different ANN types, such as the multilayer perceptron network (MLP), general regression neural network (GRNN), and radial basis function network (RBFN), can reconstruct the axial compressor performance map. For engineers and technicians interested in modelling the compressor using the latest technology, this chapter is helpful.
Abstract
Compressors are essential to many industrial processes, including the provision of compressed air for pneumatic tools, driving refrigeration cycles, and transporting gases through pipelines. With an emphasis on the principles of fluid machinery and the application of artificial neural networks for the prediction of compressor performance, this chapter offers a complete overview of compressor applications across a variety of industries. It starts by describing several compressor types and their basic operating principles. The discussion then moves on to a variety of industrial uses, including compressed air generation, refrigeration, air conditioning, gas transportation, and chemical synthesis. Additionally, it explores the difficulties and opportunities associated with using compressors in industrial settings. This chapter also discusses how different ANN types, such as the multilayer perceptron network (MLP), general regression neural network (GRNN), and radial basis function network (RBFN), can reconstruct the axial compressor performance map. For engineers and technicians interested in modelling the compressor using the latest technology, this chapter is helpful.
Kapitel in diesem Buch
- Frontmatter I
- Preface V
- About the editors VII
- List of contributing authors IX
- Contents XIII
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Section I: Blowers
- Chapter 1 Introduction to fans and blowers 1
- Chapter 2 Positive displacement blowers 37
- Chapter 3 Dynamic blowers: classification, characteristics, applications, and industrial scalability 55
- Chapter 4 Efficiency and industrial scale-up of blowers and compressors 71
-
Section II: Compressors
- Chapter 5 Introduction to compressors 93
- Chapter 6 Compressor applications and comparative analysis in process industries 121
- Chapter 7 Prediction of compressor performance using artificial neural network 137
- Chapter 8 Capacity control of a reciprocating compressor: a case study 159
- Chapter 9 Improvement in quality of maintenance of air compressor 165
- Chapter 10 Future prospects in compressor technology 179
- Index 199
Kapitel in diesem Buch
- Frontmatter I
- Preface V
- About the editors VII
- List of contributing authors IX
- Contents XIII
-
Section I: Blowers
- Chapter 1 Introduction to fans and blowers 1
- Chapter 2 Positive displacement blowers 37
- Chapter 3 Dynamic blowers: classification, characteristics, applications, and industrial scalability 55
- Chapter 4 Efficiency and industrial scale-up of blowers and compressors 71
-
Section II: Compressors
- Chapter 5 Introduction to compressors 93
- Chapter 6 Compressor applications and comparative analysis in process industries 121
- Chapter 7 Prediction of compressor performance using artificial neural network 137
- Chapter 8 Capacity control of a reciprocating compressor: a case study 159
- Chapter 9 Improvement in quality of maintenance of air compressor 165
- Chapter 10 Future prospects in compressor technology 179
- Index 199
