Results 191 to 200 of about 80,379 (230)

A novel hybrid extreme learning machine-based diagnosis model for sensor node faults in aquaculture. [PDF]

Sci Rep
Shi B, Gao Z, Pu T, Jiang J, Sun Y.
europepmc   +1 more source

Advancing real-time validation of automotive software systems via continuous integration and intelligent failure analysis. [PDF]

Sci Rep
Abboush M, Knieke C, Rausch A.
europepmc   +1 more source

Comprehensive Fault Diagnosis of Three-Phase Induction Motors Using Synchronized Multi-Sensor Data Collection. [PDF]

Sci Data
Thomas K, Rahman A, Rohouma W, Ahamed MF, Shafi FB, Nahiduzzaman M, Khandakar A.   +6 more
europepmc   +1 more source

Overview of Monitoring, Diagnostics, Aging Analysis, and Maintenance Strategies in High-Voltage AC/DC XLPE Cable Systems. [PDF]

Sensors (Basel)
Emdadi K, Gandomkar M, Aranizadeh A, Vahidi B, Mirmozaffari M.   +4 more
europepmc   +1 more source

A Review of Artificial Intelligence Techniques in Fault Diagnosis of Electric Machines. [PDF]

Sensors (Basel)
Zachariades C, Xavier V.
europepmc   +1 more source

Ball bearing fault detection using an acoustic based machine learning approach. [PDF]

Sci Rep
Chandrakala CB, Karumanchi SS, Raghudathesh GP, Madhwesh N.   +3 more
europepmc   +1 more source

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Sensor faults

ACM Transactions on Sensor Networks, 2010
Various sensor network measurement studies have reported instances of transient faults in sensor readings. In this work, we seek to answer a simple question: How often are such faults observed in real deployments? We focus on three types of transient faults, caused by faulty sensor readings that appear abnormal.
Abhishek B. Sharma, Leana Golubchik, Ramesh Govindan   +2 more
openaire   +1 more source

Distributed fault-tolerant detection via sensor fault detection in sensor networks

2007 10th International Conference on Information Fusion, 2007
This work addresses the design of a distributed fault-tolerant decision fusion in the presence of sensor faults when the local sensors sequentially send their decisions to a fusion center. A collaborative sensor fault detection (CSFD) scheme is proposed here to eliminate unreliable local decisions when performing distributed decision fusion.
Tsang Yi Wang, Li Yuan Chang, Dyi Rong Duh, Jeng Yang Wu   +3 more
openaire   +1 more source

DISTINGUISHING SENSOR FAULTS FROM SYSTEM FAULTS BY UTILIZING MINIMUM SENSOR REDUNDANCY

Transactions of the Canadian Society for Mechanical Engineering, 2017
Automated Fault Detection and Diagnosis (FDD) systems depend entirely on the reliability of sensor readings. This paper fills an important gap in the literature by pinpointing the distinction between sensor faults and system faults in the monitoring process.
Morteza Taiebat, Farrokh Sassani
openaire   +1 more source

Isolability of faults in sensor fault diagnosis

Mechanical Systems and Signal Processing, 2011
Abstract A major concern with fault detection and isolation (FDI) methods is their robustness with respect to noise and modeling uncertainties. With this in mind, several approaches have been proposed to minimize the vulnerability of FDI methods to these uncertainties.
Reza Sharifi, Reza Langari
openaire   +1 more source