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- research-articleOctober 2024
End-to-end Fault Diagnosis of High-Voltage GIS Devices Leveraging Masked Auto Encoder
EMCLR'24: Proceedings of the 1st International Workshop on Efficient Multimedia Computing under LimitedPages 13–17https://doi.org/10.1145/3688863.3689577The runtime fault diagnosis of High Voltage Gas Insulated Switches (HV-GIS) is essential for ensuring the safety and reliability of electrical systems. Traditional fault diagnostic algorithms predominantly rely on statistical feature extraction combined ...
- research-articleAugust 2024
Fault detection for saturated nonlinear system subject to redundant channel and additive time‐varying delays
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 38, Issue 11Pages 3540–3560https://doi.org/10.1002/acs.3889AbstractUnder the influence of sensor saturation and packet dropout, this paper is concerned with the fault detection (FD) problem for a class of nonlinear systems with two additive time‐varying delay components. In the addressed measurement model, the ...
- ArticleAugust 2024
ConvNeXt-BiGRU Rolling Bearing Fault Detection Based on Attention Mechanism
Advanced Intelligent Computing Technology and ApplicationsPages 66–76https://doi.org/10.1007/978-981-97-5672-8_6AbstractThis paper proposes a ConvNeXt-BiGRU rolling bearing fault detection method based on the attention mechanism, which aims to address the issues of low feature selection accuracy and insufficient model generalization ability of traditional neural ...
- research-articleOctober 2024
A novel anomaly indicator and early warning system for hydropower units
CAIBDA '24: Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and AlgorithmsPages 493–502https://doi.org/10.1145/3690407.3690492Within the new type of power system characterized by renewable energy, the role of hydropower units becomes increasingly crucial, while their operational conditions grow more challenging. To prevent the occurrence of serious accidents, it is imperative ...
- research-articleOctober 2024
Interval Parity Relations for Fault Diagnosis in Discrete-Time Stationary Dynamic Systems
Journal of Computer and Systems Sciences International (SPJCSSI), Volume 63, Issue 3Pages 492–502https://doi.org/10.1134/S1064230724700369AbstractThe problem of designing interval parity relations to solve the problem of fault detection in stationary systems described by linear and nonlinear dynamic models under external disturbances is studied. The solution is based on a model of the ...
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- research-articleMay 2024
PaSTS An Operational Dataset for Domestic Solar Thermal Systems
e-Energy '24: Proceedings of the 15th ACM International Conference on Future and Sustainable Energy SystemsPages 529–534https://doi.org/10.1145/3632775.3662159Solar thermal systems play an important role in the decarbonization of the domestic heating sector, yet there exist no publicly available datasets of such systems. Therefore, this paper presents the PaSTS dataset, a unique collection of operational data ...
- research-articleMay 2024
A Distributed Approach for Fault Detection in Swarms of Robots
AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent SystemsPages 253–261Swarm Robotic Systems (SRSs) are multi-robot systems usually composed of relatively simple robots. Local decisions and communication between robots allow for the emergence of complex behaviors of the entire SRS. The distributed nature of the SRSs enables ...
- research-articleApril 2024
Parameterization to fault detection filtering for Itô stochastic T‐S fuzzy systems
AbstractThis article focuses on the fault detection filtering problem for Itô stochastic Takagi–Sugeno (T‐S) fuzzy systems. In terms of line integral Lyapunov function, a sufficient condition of exponential stability in mean square and extended ...
- research-articleJanuary 2024
A bumpless transfer piecewise filtering approach for fault detection of switched linear systems
AbstractThis study focuses on bumpless transfer (BT) fault detection in switched linear systems operating under mode‐dependent average dwell time (MDADT) switching. We propose a piecewise fault detection filter (FDF) inspired by the segmentation concept ...
- research-articleApril 2024
BoostIID: Fault-Agnostic Online Detection of WCET Changes in Autonomous Driving
ASPDAC '24: Proceedings of the 29th Asia and South Pacific Design Automation ConferencePages 704–709https://doi.org/10.1109/ASP-DAC58780.2024.10473866The lifespan of autonomous vehicles is increasing, exposing them to aging and permanent faults that can impact timing safety based on design-time analyses such as worst-case execution time (WCET). Conventional fault-aware WCET methods incorporate ...
- research-articleJanuary 2024
Residual evaluation of fault detection in discrete‐time systems
AbstractThis paper studies residual evaluation of fault detection in discrete‐time systems considering unknown‐but‐bounded disturbance. By applying Lyapunov stability principle and zonotopic technique, respectively, two dynamic threshold estimation ...
- research-articleOctober 2024
Machine learning-based fault detection scheme for IoT-enabled WSNs
International Journal of Sensor Networks (IJSNET), Volume 46, Issue 2Pages 61–72https://doi.org/10.1504/ijsnet.2024.141771Wireless sensor networks (WSNs) encounter faults due to their deployment in non-deterministic and potentially hazardous environments. The process of fault identification in WSNs poses several challenges. This complexity makes it challenging to pinpoint ...
- research-articleJanuary 2024
Security‐based fault detection filtering design for fuzzy singular semi‐Markovian jump systems via improved dynamic event‐triggering and quantization protocols
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 38, Issue 1Pages 39–75https://doi.org/10.1002/acs.3689SummaryThis article concerns the problem of event‐protocol‐based asynchronous fault detection filtering design for discrete‐time fuzzy singular semi‐Markovian jump systems subjected to system parameters uncertainties, unmatched one‐sided Lipschitz ...
- research-articleDecember 2023
Univariate exploratory data analysis of satellite telemetry
- Mv Ramachandra Praveen,
- Sushabhan Choudhury,
- Piyush Kuchhal,
- Rajesh Singh,
- Purnendu Shekhar Pandey,
- Antonino Galletta
International Journal of Satellite Communications and Networking (WSAT), Volume 42, Issue 1Pages 57–85https://doi.org/10.1002/sat.1498SummaryLarge low Earth orbit satellite constellations require machine learning methods for enabling autonomy in health keeping of the satellites. Autonomy in health keeping entail's fault detection, isolation and reconfiguration. However, prior to model ...
- review-articleOctober 2023
The operation and maintenance governance of microservices architecture systems: A systematic literature review
- Lu Wang,
- Yu Xuan Jiang,
- Zhan Wang,
- Qi En Huo,
- Jie Dai,
- Sheng Long Xie,
- Rui Li,
- Ming Tao Feng,
- Yue Shen Xu,
- Zhi Ping Jiang
Journal of Software: Evolution and Process (WSMR), Volume 35, Issue 10https://doi.org/10.1002/smr.2433AbstractDue to its development agility, continuous delivery, scalability and other characteristics, the microservice architecture systems (MASs) have provided complex business functions to hundreds of millions of users in many application fields. The ...
The review designs an effective review research scheme as shown in the figure and starts from more than 500 scientific papers published from 2009 to 2021 and extracts 139 most significant papers, identifying that the main research directions of this field ...
- ArticleSeptember 2023
Fault Detection of Moore Finite State Machines by Structural Models
Computer Information Systems and Industrial ManagementPages 394–409https://doi.org/10.1007/978-3-031-42823-4_29AbstractThe fault detection is an important task in the design of fault-tolerant finite state machines (FSMs). The paper describes structural models of Moore FSM for detecting multiple faults in various elements of the FSM and preventing their negative ...
- research-articleSeptember 2023
Fault detection and prediction scheme for nonlinear stochastic distribution systems
AbstractModel‐based fault detection technique has a broad range of applications because of the small change to the system when the system state is known to be available and the low cost. For nonlinear stochastic distribution systems containing uncertain ...
- articleAugust 2023
A generalized proportional‐integral observer for fault detection: An approximate input disturbance decoupling approach
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 37, Issue 8Pages 2276–2288https://doi.org/10.1002/acs.3636SummaryThis article proposes a generalized PI observer with approximate disturbance decoupling (ADD‐GPIO) for detecting incipient actuator faults of a system subject to periodic input disturbances. Robustness to disturbances and sensitivity to faults is ...
- extended-abstractJuly 2023
Building Trustworthiness by Minimizing the Sim-to-Real Gap in Fault Detection for Robot Swarms
TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous SystemsArticle No.: 47, Pages 1–3https://doi.org/10.1145/3597512.3597527As robot swarm applications move to the real-world, ensuring the safety of such systems will be critical for trust and adoption. Fault detection is an essential component in systems which require a level of safety. Previous work has identified metrics ...
- ArticleNovember 2023
Fault Detection Mechanisms for COTS FPGA Systems Used in Low Earth Orbit
Embedded Computer Systems: Architectures, Modeling, and SimulationPages 19–32https://doi.org/10.1007/978-3-031-46077-7_2AbstractField-programmable gate array (FPGAs) in space applications come with the drawback of radiation effects, which inevitably will occur in devices of small process size. This also applies to the electronics of the Bose Einstein Condensate and Cold ...