A framework and methods for on-board network level fault diagnostics in automobiles [PDF]
A significant number of electronic control units (ECUs) are nowadays networked in automotive vehicles to help achieve advanced vehicle control and eliminate bulky electrical wiring.
Suwatthikul, Jittiwut
core
Advanced Data Augmentation Techniques for Enhanced Fault Diagnosis in Industrial Centrifugal Pumps
Journal of Sensor and Actuator NetworksThis study presents an advanced data augmentation framework to enhance fault diagnostics in industrial centrifugal pumps using vibration data. The proposed framework addresses the challenge of insufficient defect data in industrial settings by ...
Dong-Yun Kim +4 more
doaj +1 more source
BatteriesBattery fault detection is crucial for maintaining the safety and reliability of large-scale lithium-ion battery systems, especially in demanding applications like electric vehicles and energy storage power stations.
Qingbin Wang +10 more
doaj +1 more source
Inertial measuring units for future-generation aerospace products: fault-tolerance
Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, 2018 A Strapdown Inertial Measurement Unit (SIMU) with structural redundancy intended for improving fault-tolerance and accuracy of inertial navigation systems for space applications is considered.
L. V. Vodicheva +3 more
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Labelled dataset for Ultra-Low Temperature Freezer to aid dynamic modelling & fault detection and diagnostics. [PDF]
Sci Data, 2023 Huang T +5 more
europepmc +1 more source
EnergiesWind turbines face significant operational challenges due to their complex electromechanical systems, exposure to harsh environmental conditions, and high maintenance costs.
Abu Al Hassan, Phong Ba Dao
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Fault Diagnostics for Turbo-Shaft Engine Sensors Based on a Simplified On-Board Model
Sensors, 2012 Combining a simplified on-board turbo-shaft model with sensor fault diagnostic logic, a model-based sensor fault diagnosis method is proposed. The existing fault diagnosis method for turbo-shaft engine key sensors is mainly based on a double redundancies
Yaodong Xing, Jinquan Huang, Feng Lu
doaj +1 more source
From model, signal to knowledge: a data-driven perspective of fault detection and diagnosis [PDF]
, 2013 This review paper is to give a full picture of fault detection and diagnosis (FDD) in complex systems from the perspective of data processing. As a matter of fact, an FDD system is a data-processing system on the basis of information redundancy, in which
Dai, Xuewu, Gao, Zhiwei
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Novelty detection methods for online health monitoring and post data analysis of turbopumps [PDF]
, 2013 As novelty detection works when only normal data are available, it is of considerable promise for health monitoring in cases lacking fault samples and prior knowledge.
Gu, Fengshou +4 more
core +1 more source
Repeatability assessment of FBG-based strain measurements for bearing fault diagnostics
JPhys PhotonicsRolling element bearings are essential to rotating machinery, yet failures remain a leading cause of downtime and maintenance. Traditional electromechanical sensor-based methods for rotating machinery and bearing diagnostics often suffer from signal ...
Sidney Goossens +6 more
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