Classification of Wear State for a Positive Displacement Pump Using Deep Machine Learning is popular PDF and ePub book, written by Jarosław Konieczny in 2023-01-01, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Classification of Wear State for a Positive Displacement Pump Using Deep Machine Learning can be Read Online from any device for your convenience.
Classification of Wear State for a Positive Displacement Pump Using Deep Machine Learning Book PDF Summary
Hydraulic power systems are commonly used in heavy industry (usually highly energy intensive and are often associated with high power losses. Designing a suitable system to allow an early assessment of the wear conditions of components in a hydraulic system (e.g., an axial piston pump) can effectively contribute to reducing energy losses during use. This paper presents the application of a deep machine learning system to determine the efficiency state of a multi-piston positive displacement pump. Such pumps are significant in high-power hydraulic systems. The correct operation of the entire hydraulic system often depends on its proper functioning. The wear and tear of individual pump components usually leads to a decrease in the pump’s operating pressure and volumetric losses, subsequently resulting in a decrease in overall pump efficiency and increases in vibration and pump noise. This in turn leads to an increase in energy losses throughout the hydraulic system, which releases excess heat. Typical failures of the discussed pumps and their causes are described after reviewing current research work using deep machine learning. Next, the test bench on which the diagnostic experiment was conducted and the selected operating signals that were recorded are described. The measured signals were subjected to a time–frequency analysis, and their features, calculated in terms of the time and frequency domains, underwent a significance ranking using the minimum redundancy maximum relevance (MRMR) algorithm. The next step was to design a neural network structure to classify the wear state of the pump and to test and evaluate the effectiveness of the network’s recognition of the pump’s condition. The whole study was summarized with conclusions.
Detail Book of Classification of Wear State for a Positive Displacement Pump Using Deep Machine Learning PDF
- Author : Jarosław Konieczny
- Release : 01 January 2023
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Computers
- Total Page : 19 pages
- Language : English
- PDF File Size : 11,7 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Classification of Wear State for a Positive Displacement Pump Using Deep Machine Learning by Jarosław Konieczny, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.