Classification of Wear State for a Positive Displacement Pump Using Deep Machine Learning

Classification of Wear State for a Positive Displacement Pump Using Deep Machine Learning
Author :
Publisher : Infinite Study
Total Pages : 19
Release :
ISBN-13 :
ISBN-10 :
Rating : 4/5 ( Downloads)

Book Synopsis Classification of Wear State for a Positive Displacement Pump Using Deep Machine Learning by : Jarosław Konieczny

Download or read book Classification of Wear State for a Positive Displacement Pump Using Deep Machine Learning written by Jarosław Konieczny and published by Infinite Study. This book was released on 2023-01-01 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Classification of Wear State for a Positive Displacement Pump Using Deep Machine Learning Related Books

Classification of Wear State for a Positive Displacement Pump Using Deep Machine Learning
Language: en
Pages: 19
Authors: Jarosław Konieczny
Categories: Computers
Type: BOOK - Published: 2023-01-01 - Publisher: Infinite Study

DOWNLOAD EBOOK

Hydraulic power systems are commonly used in heavy industry (usually highly energy intensive and are often associated with high power losses. Designing a suitab
An Introduction to Predictive Maintenance
Language: en
Pages: 451
Authors: R. Keith Mobley
Categories: Technology & Engineering
Type: BOOK - Published: 2002-10-24 - Publisher: Elsevier

DOWNLOAD EBOOK

This second edition of An Introduction to Predictive Maintenance helps plant, process, maintenance and reliability managers and engineers to develop and impleme
Machine Drawing
Language: en
Pages: 10
Authors: K. L. Narayana
Categories: Machine design
Type: BOOK - Published: 2009-06-30 - Publisher: New Age International

DOWNLOAD EBOOK

About the Book: Written by three distinguished authors with ample academic and teaching experience, this textbook, meant for diploma and degree students of Mech
Handbook of Pumps and Pumping
Language: en
Pages: 499
Authors: Brian Nesbitt
Categories: Technology & Engineering
Type: BOOK - Published: 2006-10-18 - Publisher: Elsevier

DOWNLOAD EBOOK

Written by an experienced engineer, this book contains practical information on all aspects of pumps including classifications, materials, seals, installation,
Popular Mechanics
Language: en
Pages: 140
Authors:
Categories:
Type: BOOK - Published: 2000-01 - Publisher:

DOWNLOAD EBOOK

Popular Mechanics inspires, instructs and influences readers to help them master the modern world. Whether it’s practical DIY home-improvement tips, gadgets a