Fault Detection

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

7 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 80 papers with code (511 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Online Forecasting and Anomaly Detection Based on the ARIMA Model
  2 Apr 2021 3 repositories listed
  Real-time diagnostics of complex technical systems such as power plants are critical to keep the system in its working state.
• Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model
  5 Jun 2020 3 repositories listed
  Intelligent fault diagnosis methods based on signal analysis have been widely used for bearing fault diagnosis.
• Self-Supervised Log Parsing
  17 Mar 2020 3 repositories listed
  This allows the coupling of the MLM as pre-training with a downstream anomaly detection task.
• Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning
  6 Dec 2021 2 repositories listed
  Instead, we frame fault detection as more realistic unsupervised domain adaptation problem where we train on labelled data of one source PV plant and make predictions on another target plant.
• Time-Series Representation Learning via Temporal and Contextual Contrasting
  26 Jun 2021 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  In this paper, we propose an unsupervised Time-Series representation learning framework via Temporal and Contextual Contrasting (TS-TCC), to learn time-series representation from unlabeled data.
• GPLA-12: An Acoustic Signal Dataset of Gas Pipeline Leakage
  19 Jun 2021 2 repositories listed
  In this paper, we introduce a new acoustic leakage dataset of gas pipelines, called as GPLA-12, which has 12 categories over 684 training/testing acoustic signals.
• Testing with Fewer Resources: An Adaptive Approach to Performance-Aware Test Case Generation
  19 Jul 2019 2 repositories listed
  This study shows that performance-aware test case generation requires solving two main challenges: providing a good approximation of resource usage with minimal overhead and avoiding detrimental effects on both final…
• ALFA: A Dataset for UAV Fault and Anomaly Detection
  14 Jul 2019 2 repositories listed
  We have also provided the helper tools in several programming languages to load and work with the data and to help the evaluation of a detection method using the dataset.
• Online Isolation Forest
  14 May 2025 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  The anomaly detection literature is abundant with offline methods, which require repeated access to data in memory, and impose impractical assumptions when applied to a streaming context.
• Comparative Study of Generative Models for Early Detection of Failures in Medical Devices
  7 May 2025 1 repository listed
  The medical device industry has significantly advanced by integrating sophisticated electronics like microchips and field-programmable gate arrays (FPGAs) to enhance the safety and usability of life-saving devices.
• Benchmarking Traditional Machine Learning and Deep Learning Models for Fault Detection in Power Transformers
  7 May 2025 1 repository listed
  Accurate diagnosis of power transformer faults is essential for ensuring the stability and safety of electrical power systems.
• Data-Driven Sensor Fault Diagnosis with Proven Guarantees using Incrementally Stable Recurrent Neural Networks
  28 Apr 2025 1 repository listed
  Robust Recurrent Neural Networks (R-RENs) are a class of neural networks that have built-in system-theoretic robustness and incremental stability properties.
• Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport
  18 Feb 2025 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Meanwhile, optimal transport (OT) is a field of mathematics concerned with the transportation, between two probability measures, at least effort.
• Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power Prediction
  11 Feb 2025 1 repository listed
  In this study, we propose a hybrid semi-parametric model that combines the strengths of both approaches, applied to a dataset from a wind farm with four turbines.
• Quantum Annealing for Robust Principal Component Analysis
  11 Jan 2025 1 repository listed
  The most commonly used principal component analysis method is based upon optimization of the L2-norm, however, the L2-norm is known to exaggerate the contribution of errors and outliers.
• FaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and Diagnosis
  19 Dec 2024 1 repository listed
  Machine learning algorithms are increasingly being applied to fault detection and diagnosis (FDD) in chemical processes.
• Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networks
  2 Dec 2024 1 repository listed
  By training shallow network architectures and minimizing the number of selected features, the framework produces lightweight models that deliver explainable results through feature attribution and symbolic…
• Wind turbine condition monitoring based on intra- and inter-farm federated learning
  5 Sep 2024 1 repository listed
  Many AI applications in wind energy, such as in condition monitoring and power forecasting, may benefit from using operational data not only from individual wind turbines but from multiple turbines and multiple wind…
• Learning what to Monitor: using Machine Learning to Improve Past STL Monitoring
  3 Aug 2024 1 repository listed
  Monitoring is a runtime verification technique that can be used to check whether an execution of a system (trace) satisfies or not a given set of properties.
• Wideband Relative Transfer Function (RTF) Estimation Exploiting Frequency Correlations
  19 Jul 2024 1 repository listed
  This article focuses on estimating relative transfer functions (RTFs) for beamforming applications.
• Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field data
  27 Jun 2024 1 repository listed
  Health monitoring, fault analysis, and detection are critical for the safe and sustainable operation of battery systems.
• DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuning
  10 Jun 2024 1 repository listed
  Rolling bearing fault detection has developed rapidly in the field of fault diagnosis technology, and it occupies a very important position in this field.
• Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing
  25 May 2024 1 repository listed
  In this work, we propose a novel FD model by integrating multi-scale quaternion convolutional neural network (MQCNN), bidirectional gated recurrent unit (BiGRU), and cross self-attention feature fusion (CSAFF).
• USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series
  25 May 2024 1 repository listed
  Unsupervised fault detection in multivariate time series is critical for maintaining the integrity and efficiency of complex systems, with current methodologies largely focusing on statistical and machine learning…
• DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured Systems
  13 May 2024 1 repository listed
  A downside of such methods is that they require a static input size, or lose data through cropping, sampling, or other dimensionality reduction methods, making deployment on systems with variability on monitored data…
• Fault Identification Enhancement with Reinforcement Learning (FIERL)
  8 May 2024 1 repository listed
  This letter presents a novel approach in the field of Active Fault Detection (AFD), by explicitly separating the task into two parts: Passive Fault Detection (PFD) and control input design.
• A probabilistic estimation of remaining useful life from censored time-to-event data
  2 May 2024 1 repository listed
  Our work encourages the inclusion of censored data in predictive maintenance models and highlights the unique advantages that survival analysis offers when it comes to probabilistic RUL estimation and early fault…
• TFPred: Learning Discriminative Representations from Unlabeled Data for Few-Label Rotating Machinery Fault Diagnosis
  1 May 2024 1 repository listed
  Recent advances in intelligent rotating machinery fault diagnosis have been enabled by the availability of massive labeled training data.
• Generalised envelope spectrum-based signal-to-noise objectives: Formulation, optimisation and application for gear fault detection under time-varying speed conditions
  26 Apr 2024 1 repository listed
  Fault detection primarily uses the fault component's prominence in the squared envelope spectrum, quantified by a squared envelope spectrum-based signal-to-noise ratio.
• Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process
  20 Mar 2024 1 repository listed
  By evaluating three neural networks with different architectures, we subject them to six types of adversarial attacks and explore five different defense methods.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.