Cargando…

Non-Dispersive Infrared Sensor for Online Condition Monitoring of Gearbox Oil

The condition of lubricating oil used in automotive and industrial gearboxes must be controlled in order to guarantee optimum performance and prevent damage to machinery parts. In normal practice, this is done by regular oil change intervals and routine laboratory analysis, both of which involve con...

Descripción completa

Detalles Bibliográficos
Autores principales:	Rauscher, Markus S., Tremmel, Anton J., Schardt, Michael, Koch, Alexander W.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2017
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335922/ https://www.ncbi.nlm.nih.gov/pubmed/28218701 http://dx.doi.org/10.3390/s17020399

Ejemplares similares

Infrared Thermography Smart Sensor for the Condition Monitoring of Gearbox and Bearings Faults in Induction Motors
por: Alvarado-Hernandez, Alvaro Ivan, et al.
Publicado: (2022)

An Evaluation of Gearbox Condition Monitoring Using Infrared Thermal Images Applied with Convolutional Neural Networks
por: Li, Yongbo, et al.
Publicado: (2019)

Electrostatic Sensor Application for On-Line Monitoring of Wind Turbine Gearboxes
por: Mao, Huijie, et al.
Publicado: (2018)

Gas Measurement Using Static Fourier Transform Infrared Spectrometers
por: Köhler, Michael H., et al.
Publicado: (2017)

A Simple Condition Monitoring Method for Gearboxes Operating in Impulsive Environments
por: Schmidt, Stephan, et al.
Publicado: (2020)

An Entropy-Based Condition Monitoring Strategy for the Detection and Classification of Wear Levels in Gearboxes
por: Elvira-Ortiz, David A., et al.
Publicado: (2023)

Method for thermal evaluation of automotive gearbox packages taking into account load point-dependent oil distribution
por: Uerlich, Roland, et al.
Publicado: (2022)

Wind Turbine Gearbox Condition Monitoring Based on Class of Support Vector Regression Models and Residual Analysis
por: Dhiman, Harsh S., et al.
Publicado: (2020)

Decision Tree-Based Classification for Planetary Gearboxes’ Condition Monitoring with the Use of Vibration Data in Multidimensional Symptom Space
por: Lipinski, Piotr, et al.
Publicado: (2020)

Customized Multiwavelets for Planetary Gearbox Fault Detection Based on Vibration Sensor Signals
por: Sun, Hailiang, et al.
Publicado: (2013)

Gearbox Fault Diagnosis Based on Hierarchical Instantaneous Energy Density Dispersion Entropy and Dynamic Time Warping
por: Tang, Guiji, et al.
Publicado: (2019)

The Gearbox of the Bacterial Flagellar Motor Switch
por: Pandini, Alessandro, et al.
Publicado: (2016)

A Method Based on Multi-Sensor Data Fusion for Fault Detection of Planetary Gearboxes
por: Lei, Yaguo, et al.
Publicado: (2012)

On-Chip Non-Dispersive Infrared CO(2) Sensor Based on an Integrating Cylinder †
por: Jia, Xiaoning, et al.
Publicado: (2019)

Novel Higher-Order Spectral Cross-Correlation Technologies for Vibration Sensor-Based Diagnosis of Gearboxes
por: Gelman, Len, et al.
Publicado: (2020)

Dynamics and vibration analyses of gearbox in wind turbine
por: Han, Qingkai, et al.
Publicado: (2016)

Compact Gearboxes for Modern Robotics: A Review
por: García, Pablo López, et al.
Publicado: (2020)

Generative Adversarial Learning Enhanced Fault Diagnosis for Planetary Gearbox under Varying Working Conditions
por: Wen, Weigang, et al.
Publicado: (2020)

Finite element analysis and optimization of tractor gearbox body under various kinds of working conditions
por: Dong, Sihui, et al.
Publicado: (2022)

Multi-Gas Analyzer Based on Tunable Filter Non-Dispersive Infrared Sensor: Application to the Monitoring of Eco-Friendly Gas Insulated Switchgears
por: Kim, Yera, et al.
Publicado: (2022)

Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors — A Comparative Study
por: Qu, Yongzhi, et al.
Publicado: (2014)

On the Mechanical Friction Losses Occurring in Automotive Differential Gearboxes
por: Antoni, Grégory
Publicado: (2014)

Methods of Hidden Periodicity Discovering for Gearbox Fault Detection
por: Javorskyj, Ihor, et al.
Publicado: (2021)

Online Monitoring of Sensor Calibration Status to Support Condition-Based Maintenance
por: Martins, Alexandre, et al.
Publicado: (2023)

Non-contact incipient fault diagnosis method of fixed-axis gearbox based on CEEMDAN
por: Vanraj,, et al.
Publicado: (2017)

Real-Time and Online Lubricating Oil Condition Monitoring Enabled by Triboelectric Nanogenerator
por: Zhao, Jun, et al.
Publicado: (2021)

Simultaneous-Fault Diagnosis of Gearboxes Using Probabilistic Committee Machine
por: Zhong, Jian-Hua, et al.
Publicado: (2016)

Research on Fault Diagnosis of Gearbox with Improved Variational Mode Decomposition
por: Wang, Zhijian, et al.
Publicado: (2018)

Fault Diagnosis of Loader Gearbox Based on an ICA and SVM Algorithm
por: Chen, Zhongxin, et al.
Publicado: (2019)

A Machine Learning Approach for Gearbox System Fault Diagnosis
por: Vrba, Jan, et al.
Publicado: (2021)

Gearbox Fault Diagnosis Based on Improved Variational Mode Extraction
por: Guo, Yuanjing, et al.
Publicado: (2022)

Fault Detection of Wind Turbine Gearboxes Based on IBOA-ERF
por: Tang, Mingzhu, et al.
Publicado: (2022)

Maize harvester gearbox design modification for improved fatigue life
por: Kim, Ji-Tae, et al.
Publicado: (2022)

A Mechanism-Based Automatic Fault Diagnosis Method for Gearboxes
por: Xu, Lei, et al.
Publicado: (2022)

Gearbox Fault Diagnosis Method Based on Multidomain Information Fusion
por: Xie, Fengyun, et al.
Publicado: (2023)

Fusion Domain-Adaptation CNN Driven by Images and Vibration Signals for Fault Diagnosis of Gearbox Cross-Working Conditions
por: Mao, Gang, et al.
Publicado: (2022)

Multi-Sensor Data Fusion Using a Relevance Vector Machine Based on an Ant Colony for Gearbox Fault Detection
por: Liu, Zhiwen, et al.
Publicado: (2015)

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox
por: Jing, Luyang, et al.
Publicado: (2017)

A Reliable Fault Diagnosis Method for a Gearbox System with Varying Rotational Speeds
por: Nguyen, Cong Dai, et al.
Publicado: (2020)

Characteristics and Temperature Compensation of Non-Dispersive Infrared (NDIR) Alcohol Gas Sensors According to Incident Light Intensity
por: Hussain, Humaira, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_7kud138acgt51kvmhmsgl80256