From corrective to predictive maintenance—A review of maintenance approaches for the power industry
M Molęda, B Małysiak-Mrozek, W Ding, V Sunderam… - Sensors, 2023 - mdpi.com
Appropriate maintenance of industrial equipment keeps production systems in good health
and ensures the stability of production processes. In specific production sectors, such as the …
and ensures the stability of production processes. In specific production sectors, such as the …
Causes of transformer failures and diagnostic methods–A review
This paper presents a review on the sources of failures of transformer in the substation.
Different investigations and test analyses have been conducted to identify the root causes of …
Different investigations and test analyses have been conducted to identify the root causes of …
Fault detection and diagnosis in electric motors using 1d convolutional neural networks with multi-channel vibration signals
RFR Junior, IA dos Santos Areias, MM Campos… - Measurement, 2022 - Elsevier
Fault detection and diagnosis in time series data are becoming mainstream in most
industrial applications since the increase of monitoring sensors in machinery. Traditional …
industrial applications since the increase of monitoring sensors in machinery. Traditional …
An investigation of complex fuzzy sets for large-scale learning
Complex fuzzy sets are an extension of type-1 fuzzy sets with complex-valued membership
functions. Over the last 20 years, time-series forecasting has emerged as the most important …
functions. Over the last 20 years, time-series forecasting has emerged as the most important …
Advanced signal processing methods for condition monitoring
Condition monitoring of induction motors (IM) among with the predictive maintenance
concept are currently among the most promising research topics of manufacturing industry …
concept are currently among the most promising research topics of manufacturing industry …
Condition monitoring and fault detection in small induction motors using machine learning algorithms
Electric induction motors are one of the most important and widely used classes of machines
in modern industry. Large motors, which are commonly process-critical, will usually have …
in modern industry. Large motors, which are commonly process-critical, will usually have …
Fault detection and diagnosis in electric motors using convolution neural network and short-time fourier transform
RF Ribeiro Junior, IA dos Santos Areias… - Journal of Vibration …, 2022 - Springer
Purpose Fault diagnosis is vital to any maintenance sector since early fault detection can
avoid catastrophic failures and also a waste of both time and money. Common defect …
avoid catastrophic failures and also a waste of both time and money. Common defect …
A multiresolution Taylor–Kalman approach for broken rotor bar detection in cage induction motors
LA Trujillo-Guajardo… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Broken rotor bar (BRB) fault is common in cage rotor induction motors. Motor current
signature analysis (MCSA) has been a popular method to detect BRB faults. In the MCSA …
signature analysis (MCSA) has been a popular method to detect BRB faults. In the MCSA …
Fault detection and diagnosis using vibration signal analysis in frequency domain for electric motors considering different real fault types
RFR Junior, IA dos Santos Areias, GF Gomes - Sensor Review, 2021 - emerald.com
Purpose Electric motors are present in most industries today, being the main source of
power. Thus, detection of faults is very important to rise reliability, reduce the production …
power. Thus, detection of faults is very important to rise reliability, reduce the production …
Carbon nanotubes grease with high electrical conductivity
While most commercial greases are used to prevent wear and tear in machinery, many
specialized applications require electrically conductive grease. Applications include, but are …
specialized applications require electrically conductive grease. Applications include, but are …