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Evaluating the Severity of Transformer Winding Faults using FRA and Artificial Intelligence
AbstractPower transformers are one of the most important components of power systems because of their high cost and the losses they cause when they...
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Faults’ Effects in Air-Handling Units: A Comprehensive Analysis of Numerical Studies
Heating, Ventilation, and Air-Conditioning (HVAC) systems including Air-Handling Units (AHUs) are in charge of a significant contribution to the... -
Electromechanical Modelling and Multi Faults Diagnosis of Straight Bevel Gear Pair with Experimental Validation
Purpose and MethodsThe paper presents the electromechanical modelling of straight bevel gear pair with multiple fault conditions such as healthy...
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RETRACTED ARTICLE: Determination of Power Transformer Fault’s Severity Based on Fuzzy Logic Model with GR, Level and DGA Interpretation
Transformer defects are defined by their severity which is the intrinsic property of the transformer. Several approaches for identifying the severity...
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Evaluation and classification of stator turn-to-turn faults using electrical equivalent circuits for surface permanent magnet brushless direct current motors
Stator turn-to-turn faults occur due to improper loading, eccentricity in the rotor, and increases in the operating temperature. During the...
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Diagnosis Method for Eccentric Fault Severity of Permanent Magnet Synchronous Generator Based on Bearing Seat Vibration Characteristics
This paper proposes a method for using the vibration characteristics of the permanent magnet synchronous generator (PMSG) bearing seat to identify... -
Real-time detection of bearing faults through a hybrid WTMP analysis of frequency-related states
The paper’s primary focus is on the monitoring of vibration signals and introduces an innovative method for the detection of bearing faults in...
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Electromagnetic Effects of Short-Circuit Faults in Induction Machines
AbstractThis work describes an efficient approach for the modeling and analysis of asymmetrical induction machines operation under stator...
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Analysis and Study of Bug Classification Quintessence and Techniques for Forecasting Software Faults
Developers frequently save past faults in storage to better understand issues affecting software systems and these flaws can be divided into... -
Transformer faults in tanzanian electrical distribution networks: indicators, types, and causes
Transformers are essential and costly components of electrical secondary distribution networks (ESDNs). Distribution transformers provide electricity...
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A review: multiplicative faults and model-based condition monitoring strategies for fault diagnosis in rotary machines
In the present review article, the research findings in the field of investigating the vibrational nature of the rotating machineries under the...
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A Fixed-Time Multi-Platoon Maneuvers with Actuator Saturation and Faults
This paper investigates the merging and splitting maneuvers of multiple heterogeneous platoons in the presence of actuator saturation and faults. At...
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Modeling and Analysis of Assembly Faults of a Dual-Stator Low-Speed High-Torque Permanent Magnet Drive Machine
Dual-stator permanent magnet machines are widely used in the low-speed high-torque applications, benefiting from the advantages of high efficiency...
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Fault feature selection for the identification of compound gear-bearing faults using firefly algorithm
The occurrence of compound faults in real-time conditions leads to the early failure of components. However, identifying compound faults in a rotor...
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Nonsingular Fixed-time Consensus Tracking for Heterogeneous Multi-agent Systems With External Disturbances and Actuator Faults
This paper studies the leader-follower consensus tracking for a group of heterogeneous multi-agent systems with nonlinear hybrid order dynamics,...
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Classification of the Severity of Attacks on Internet of Things Networks
In the Internet of Things (IoT) technology, there are several issues to overcome, including network security. New attacks have been developed to... -
Rotor Unbalance Severity Detection Using Maximum Overlap Discrete Wavelet Transform
The rotor unbalances a critical fault that increases stress at rotational parts like bearings and gears, resulting in higher power consumption and... -
Bearing faults classification using a new approach of signal processing combined with machine learning algorithms
Vibration analysis plays a crucial role in fault and abnormality diagnosis in various mechanical systems. However, efficient vibration signal...
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A Proposed ABC Model for Accurate Simulation of 3-Phase Induction Motor with Inter-Turn Faults
Inter-turn faults (ITFs) are one of the most common types of faults that affect the operation of induction motors. This paper presents an ABC...
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Non-invasive vibration analysis with RDWT, UWB radar, and software PLL for open-phase and multiple bearing faults diagnosis in BLDC motor
Early fault detection in brushless direct current (BLDC) motors used in electric vehicles is crucial for ensuring the reliability, safety, and...