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MACHINERY´S HANDBOOK
Book
Book
MACHINERY´S HANDBOOK
OBERG, ERIK · INDUSTRIAL PRESS · 2016 · ISBN 978-0-8311-3091-6
Subjects / keywords: OBERG, ERIK; INDUSTRIAL PRESS; 620.1 O12m30
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A Multi-mode Electronic Load Sensing Control Scheme with Power Limitation and Pressure Cut-off for Mobile Machinery
Article
Article
A Multi-mode Electronic Load Sensing Control Scheme with Power Limitation and Pressure Cut-off for Mobile Machinery
Min Cheng et al · KeAi Communications Co., Ltd · 2023 · ISSN 2192-8258
Abstract In mobile machinery, hydro-mechanical pumps are increasingly replaced by electronically controlled pumps to improve the automation level, but diversified control functions (e.g., power limitation and pressure cu...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma English
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Cavitation Diagnostics Based on Self-Tuning VMD for Fluid Machinery with Low-SNR Conditions
Article
Article
Cavitation Diagnostics Based on Self-Tuning VMD for Fluid Machinery with Low-SNR Conditions
Hao Liu et al · KeAi Communications Co., Ltd · 2023 · ISSN 2192-8258
Abstract Variational mode decomposition (VMD) is a suitable tool for processing cavitation-induced vibration signals and is greatly affected by two parameters: the decomposed number K and penalty factor α under strong n...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma English
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Fault Diagnosis Method for Rotating Machinery Based on Multi-scale Features
Article
Article
Fault Diagnosis Method for Rotating Machinery Based on Multi-scale Features
Ruijun Liang et al · KeAi Communications Co., Ltd · 2023 · ISSN 2192-8258
Abstract The vibration signals of rotating machinery usually contain various natural oscillation modes, exhibiting multi-scale features. This paper proposes a Multi-Branch one-dimensional deep Convolutional Neural Networ...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma English
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Particle Swarm Optimization-Support Vector Machine Model for Machinery Fault Diagnoses in High-Voltage Circuit Breakers
Article
Article
Particle Swarm Optimization-Support Vector Machine Model for Machinery Fault Diagnoses in High-Voltage Circuit Breakers
Xiaofeng Li et al · KeAi Communications Co., Ltd · 2020 · ISSN 1000-9345
Abstract According to statistic data, machinery faults contribute to largest proportion of High-voltage circuit breaker failures, and traditional maintenance methods exist some disadvantages for that issue. Therefore, ba...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma English
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A novel ultra-high-speed air-based Taylor–Couette apparatus for exploring narrow-gap flows in high-speed rotating machinery
Article
Article
A novel ultra-high-speed air-based Taylor–Couette apparatus for exploring narrow-gap flows in high-speed rotating machinery
Xi-Ran Liu et al · Cambridge University Press · 2026 · ISSN 2633-4259
We present the design, construction and initial experimental validation of the Northwestern Polytechnical University Taylor–Couette (NPU-TC) apparatus, specifically developed to explore turbulent Taylor–Couette flows...
LCC TENDOkFuYWx5dGljIG1lY2hhbmljcw~~Idioma English
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Continuation-Enhanced Harmonic Balance Method for Nonlinear Dynamics in Rotating Machinery
Article
Article
Continuation-Enhanced Harmonic Balance Method for Nonlinear Dynamics in Rotating Machinery
Muhammad Umar et al · Wiley · 2026 · ISSN 1875-9203
Nonlinear response conception in rotating machinery, particularly in systems with squeeze film dampers (SFDs), pose significant challenges for established time-domain numerical methods due to bifurcations and critical po...
LCC TENDOlBoeXNpY3M~Idioma English
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Intelligent Diagnosis Method for Typical Co-frequency Vibration Faults of Rotating Machinery Based on SAE and Ensembled ResNet-SVM
Article
Article
Intelligent Diagnosis Method for Typical Co-frequency Vibration Faults of Rotating Machinery Based on SAE and Ensembled ResNet-SVM
Xiancheng Zhang et al · KeAi Communications Co., Ltd · 2024 · ISSN 2192-8258
Abstract Intelligent fault diagnosis is an important method in rotating machinery fault diagnosis and equipment health management. To deal with co-frequency vibration faults, a type of typical fault in rotating machinery...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma English
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Soil compaction caused by the impact of machinery traffic during corn (Zea mays) harvest
Article
Article
Soil compaction caused by the impact of machinery traffic during corn (Zea mays) harvest
Ramón Jesús Hidalgo et al · Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo · 2020 · ISSN 0370-4661
The aim of this work was to study soil compaction caused by the traffic of two types of combine harvesters and a tractor plus a grain cart with two loading conditions (fully loaded hoppers-empty hoppers) during corn harv...
LCC LCC:Agriculture; TENDOkZvb2QgcHJvY2Vzc2luZyBhbmQgbWFudWZhY3R1cmU~Idioma English
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Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties
Article
Article
Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties
Zhe Yang et al · KeAi Communications Co., Ltd · 2021 · ISSN 1000-9345
Abstract Supervised fault diagnosis typically assumes that all the types of machinery failures are known. However, in practice unknown types of defect, i.e., novelties, may occur, whose detection is a challenging task. I...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma English
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