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Statistical Fault Analysis of TinyJambu
The resource-constrained IoT devices have limited resources such as processing power, memory, and battery capacity. Therefore it is challenging to...
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Statistical Control Charts for Proactive Bearings Fault Diagnosis in Turbines: Advancing Predictive Maintenance in Renewable Energy Systems
PurposeThe purpose of this study is to introduce an innovative method for diagnosing bearing issues in turbines using statistical control charts,...
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A Novel Duplication-Based Countermeasure to Statistical Ineffective Fault Analysis
The Statistical Ineffective Fault Analysis, SIFA, is a recent addition to the family of fault-based cryptanalysis techniques. SIFA-based attack is...
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CNN-based fault classification considered fault location of vibration signals
Recently, with the development of the 4th industrial technology such as big data, cloud computing, and IoT, technologies that automatically perform...
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Acoustic signal analysis for gear fault diagnosis using a uniform circular microphone array
In this paper, a far-field acoustic signal processing method based on a uniform circular microphone array is proposed for the gear fault detection....
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Multivariate sensor data analysis for fault detection toward feedback loop-based continuous learning in FFF 3D printer
Real-time fault detection via sensor signal analyses is widely performed in electromechanical systems to prevent sudden stops and the resulting...
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Consequence severity-probability importance measure for fault tree analysis
Fault Tree Analysis (FTA) has realized substantial application for safety engineering; however, the method is not without limitations. Traditional...
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A statistical-based online cross-system fault detection method for building chillers
Practical applications of data-driven fault detection (FD) are limited by their portability. The costs of model training and validation are extremely...
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Application of AdaBoost for stator fault diagnosis in three-phase permanent magnet synchronous motors based on vibration–current data fusion analysis
Permanent magnet synchronous motors (PMSMs) are of wide utilization in various industrial applications for their precise control capabilities....
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Enhanced Bearing Fault Diagnosis Through Trees Ensemble Method and Feature Importance Analysis
PurposeThis research introduces a groundbreaking method for bearing defect detection. It leverages ensemble machine learning (ML) models and conducts...
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Inelastic Analysis and Damage Assessment of Hydraulic Arched Tunnels in Different Near-Fault Regions
The seismic natural hazard event is a threat of unpredictable events, which can easily cause incalculable damage to hydraulic tunnels. Traditionally,...
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Dynamic Weighted Slow Feature Analysis-based Fault Detection for Running Gear Systems of High-speed Trains
The running gear system provides the safety guarantee for the normal operation of high-speed trains. The massive historical data in the system can be...
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A Review on Fault Recording Analysis and Its Theories and Algorithms
Fault information is more and more accessible to be obtained by the wide application of the devices of digital fault recorders and microcomputer...
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A Personalized Federated Learning Fault Diagnosis Method for Inter-client Statistical Characteristic Inconsistency
The existing personalized federated learning fault diagnosis methods only focus on personalizing the global model by using private data from each...
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Probabilistic fault displacement hazard analysis (PFDHA) for a strand of main boundary thrust (MBT) in Garhwal-Kumaon Himalaya
To ensure the seismic safety of important buildings and infrastructure facilities in seismically active areas, it is necessary that, in addition to...
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RFID library management software dependability through reliable fault-detection and fault correction procedures
Apart from the widespread acceptance of the digital library as a major research response among university lecturers and students, little is known...
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System Analysis: Function, Fault Tree and Failure Mode and Effects
In the context of this chapter, the focus is on the analysis of the function and failure of technical systems. One of the most important methods of...
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Fault Diagnosis Method of Escalator Step System Based on Vibration Signal Analysis
For the problem that escalator fault diagnosis is difficult to realize, this paper proposes a fault diagnosis method based on vibration signal...
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An unsupervised mechanical fault classification method under the condition of unknown number of fault types
This paper proposes a novel unsupervised classification method to solve the problem of mechanical fault diagnosis under the condition of unknown...
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Fault tree analysis for subway fire evacuation with agent-based modeling
In the process of the continuous development of subway construction, the safe evacuation of subway passengers has been paid much attention to. As the...
