Intelligent worm gearbox fault diagnosis under various working conditions using vibration, sound and thermal features
Worm gearboxes (WG) are frequently used in many areas of the industry. WG is different
from other gearbox types and due to their working principles they are under high risk of wear …
from other gearbox types and due to their working principles they are under high risk of wear …
[HTML][HTML] Fault detection of electric impact drills and coffee grinders using acoustic signals
A Glowacz - Sensors, 2019 - mdpi.com
Increasing demand for higher safety of motors can be noticed in recent years. Developing of
new fault detection techniques is related with higher safety of motors. This paper presents …
new fault detection techniques is related with higher safety of motors. This paper presents …
An automated faults classification method based on binary pattern and neighborhood component analysis using induction motor
O Yaman - Measurement, 2021 - Elsevier
Induction motors, which are widely used in industrial applications, are indispensable tools of
the industry. Induction motors work in almost every part of the industry, such as production …
the industry. Induction motors work in almost every part of the industry, such as production …
In-service wind turbine DFIG diagnosis using current signature analysis
E Artigao, A Honrubia-Escribano… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Operation and maintenance costs of wind power plants represent a significant share of the
total expenditure of a wind farm project. It is therefore vital to optimize maintenance activities …
total expenditure of a wind farm project. It is therefore vital to optimize maintenance activities …
Condition monitoring of a wind turbine drivetrain based on generator stator current processing
As the wind turbine operates in harsh conditions, numerous of its components are critical
and present an important downtime for maintenance. In this paper, we propose a fault …
and present an important downtime for maintenance. In this paper, we propose a fault …
An envelope time synchronous averaging for wind turbine gearbox fault diagnosis
Purpose Vibration-based condition monitoring techniques are widely used for diagnosing
faults in rotating machines. These techniques are implemented in the time domain, the …
faults in rotating machines. These techniques are implemented in the time domain, the …
Gear reducer fault diagnosis using learning model for spectral density of acoustic signal
SW Oh, C Lee, W You - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Gear reducer is the main mechanical component used to regulate the speed of electric
motors. This study seeks to develop an effective approach for detecting gear tooth defects in …
motors. This study seeks to develop an effective approach for detecting gear tooth defects in …
Fault evolution monitoring of an in-service wind turbine DFIG using windowed scalogram difference
The rapid evolution of wind energy in reducing CO 2 emissions worldwide is undeniable,
which is, in fact, expected to continue or even increase its impressive yearly capacity growth …
which is, in fact, expected to continue or even increase its impressive yearly capacity growth …
Magnetic Signature-Based Model Using Machine Learning for Electrical and Mechanical Faults Classification of Wind Turbine Drive Trains
Signal processing and fault indicators analysis are essential for efficient fault detection,
classification, and diagnosis of wind turbines. Accordingly, existing works proposed the …
classification, and diagnosis of wind turbines. Accordingly, existing works proposed the …
Research on the Electromagnetic Conversion Method of Stator Current for Local Fault Detection of a Planetary Gearbox
X Xu, G Liu, X Liang - Machines, 2021 - mdpi.com
Motor current signature analysis (MCSA) is a useful technique for planetary gear fault
detection. Motor current signals have easier accessibility and are free from time-varying …
detection. Motor current signals have easier accessibility and are free from time-varying …