Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms
Abstract Fault Detection and Diagnosis (FDD) of rotating machinery plays a key role in
reducing the maintenance costs of the manufacturing systems. How to improve the FDD …
reducing the maintenance costs of the manufacturing systems. How to improve the FDD …
A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis
Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …
the efficient production and financial viability of wind power, it is crucial to maintain wind …
ChatGPT-like large-scale foundation models for prognostics and health management: A survey and roadmaps
PHM technology is vital in industrial production and maintenance, identifying and predicting
potential equipment failures and damages. This enables proactive maintenance measures …
potential equipment failures and damages. This enables proactive maintenance measures …
Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems
Abstract Fault Detection and Diagnosis (FDD) for overall modern Wind Energy Conversion
(WEC) systems, particularly its converter, is still a challenge due to the high randomness to …
(WEC) systems, particularly its converter, is still a challenge due to the high randomness to …
[책][B] Condition monitoring of rotating electrical machines
P Tavner - 2008 - books.google.com
" A first edition of Condition Monitoring of Electrical Machines, written by Tavner and
Penman, was published in 1987. The economics of industry have now changed, as a result …
Penman, was published in 1987. The economics of industry have now changed, as a result …
Internal electrical fault detection techniques in DFIG-based wind turbines: a review
The keys factor in making wind power one of the main power sources to meet the world's
growing energy demands is the reliability improvement of wind turbines (WTs). However, the …
growing energy demands is the reliability improvement of wind turbines (WTs). However, the …
Acoustic fault analysis of three commutator motors
A Glowacz - Mechanical Systems and Signal Processing, 2019 - Elsevier
Electrical motors are used in industry and in home appliances. They are important for
people. Electrical motors convert electric energy into mechanical work. They generate …
people. Electrical motors convert electric energy into mechanical work. They generate …
Intelligent condition monitoring of wind power systems: State of the art review
Modern wind turbines operate in continuously transient conditions, with varying speed,
torque, and power based on the stochastic nature of the wind resource. This variability …
torque, and power based on the stochastic nature of the wind resource. This variability …
AIGC for industrial time series: From deep generative models to large generative models
With the remarkable success of generative models like ChatGPT, Artificial Intelligence
Generated Content (AIGC) is undergoing explosive development. Not limited to text and …
Generated Content (AIGC) is undergoing explosive development. Not limited to text and …
Review and perspectives of machine learning methods for wind turbine fault diagnosis
M Tang, Q Zhao, H Wu, Z Wang, C Meng… - Frontiers in Energy …, 2021 - frontiersin.org
Wind turbines (WTs) generally comprise several complex and interconnected systems, such
as hub, converter, gearbox, generator, yaw system, pitch system, hydraulic system control …
as hub, converter, gearbox, generator, yaw system, pitch system, hydraulic system control …