Machine learning applications in health monitoring of renewable energy systems
Rapidly evolving renewable energy generation technologies and the ever-increasing scale
of renewable energy installations are driving the need for more accurate, faster, and smarter …
of renewable energy installations are driving the need for more accurate, faster, and smarter …
Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN
The vibration signal of the axle box bearing of the train is affected by the track excitation and
the random noise of the environment. The vibration signal is nonlinear and non-stationary …
the random noise of the environment. The vibration signal is nonlinear and non-stationary …
Thermographic fault diagnosis of ventilation in BLDC motors
A Glowacz - Sensors, 2021 - mdpi.com
Thermographic fault diagnosis of ventilation in BLDC (brushless DC) motors is described.
The following states of BLDC motors were analyzed: a healthy BLDC motor running at 1450 …
The following states of BLDC motors were analyzed: a healthy BLDC motor running at 1450 …
Acoustic signal-based fault detection of hydraulic piston pump using a particle swarm optimization enhancement CNN
Y Zhu, G Li, S Tang, R Wang, H Su, C Wang - Applied acoustics, 2022 - Elsevier
As the heart of a fluid power system, hydraulic piston pumps are widely used in many critical
applications, such as for marine, aerospace, and engineering equipment. The health status …
applications, such as for marine, aerospace, and engineering equipment. The health status …
A survey on artificial intelligence-based acoustic source identification
The concept of Acoustic Source Identification (ASI), which refers to the process of identifying
noise sources has attracted increasing attention in recent years. The ASI technology can be …
noise sources has attracted increasing attention in recent years. The ASI technology can be …
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] Intelligent fault diagnosis of helical gearboxes with compressive sensing based non-contact measurements
Helical gearboxes play a critical role in power transmission of industrial applications. They
are vulnerable to various faults due to long-term and heavy-duty operating conditions. To …
are vulnerable to various faults due to long-term and heavy-duty operating conditions. To …
Planetary gearbox fault diagnosis based on FDKNN-DGAT with few labeled data
H Tao, H Shi, J Qiu, G Jin… - … Science and Technology, 2023 - iopscience.iop.org
Although data-driven methods have been widely used in planetary gearbox fault diagnosis,
the difficulty and high cost of manual labeling leads to little labeled training data, which limits …
the difficulty and high cost of manual labeling leads to little labeled training data, which limits …
Optimal sensor placement for identifying multi-component failures in a wind turbine gearbox using integrated condition monitoring scheme
SN Pichika, R Yadav, SG Rajasekharan, HM Praveen… - Applied Acoustics, 2022 - Elsevier
Wind turbine gearbox has a high failure frequency and downtime, and therefore, several
sensors are installed to perform condition monitoring to reduce the operation and …
sensors are installed to perform condition monitoring to reduce the operation and …
Multi-component fault classification of a wind turbine gearbox using integrated condition monitoring and hybrid ensemble method approach
Gearbox has a high failure rate and downtime per failure in a wind turbine. Condition
monitoring (CM) helps in diagnosis and prognosis of the faults. CM uses sensors to acquire …
monitoring (CM) helps in diagnosis and prognosis of the faults. CM uses sensors to acquire …