Fault Diagnosis

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 70 papers with code (375 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.

• ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions
  4 Jun 2021 7 repositories listed
  This paper proposes a new large-scale dataset called "ToyADMOS2" for anomaly detection in machine operating sounds (ADMOS).
• 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.
• Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis
  20 Sep 2024 2 repositories listed
  In the second stage, LoFI leverages a pre-trained language model with a novel prompt-based tuning method to extract fine-grained information of interest from the collected logs.
• BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation
  21 Aug 2024 2 repositories listed
  This involves adaptively sampling the vibration signals based on the sampling rate of the sensor, incorporating the frequency domain to unify input dimensions, and using a fault-free reference signal as an auxiliary…
• Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal Transport
  16 Apr 2024 2 repositories listed
  In this paper, we tackle Multi-Source Domain Adaptation (MSDA), a task in transfer learning where one adapts multiple heterogeneous, labeled source probability measures towards a different, unlabeled target measure.
• 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.
• Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis
  7 Jan 2020 2 repositories listed
  We demonstrate in this paper that the performance of domain adversarial methods can be vulnerable to an incomplete target label space during training.
• ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection
  9 Aug 2019 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  To build a large-scale dataset for ADMOS, we collected anomalous operating sounds of miniature machines (toys) by deliberately damaging them.
• Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion
  18 Jul 2025 1 repository listed
  To address the challenges posed by cascading reactions caused by component failures in autonomous cargo ships (ACS) and the uncertainties in emergency decision-making, this paper proposes a novel hybrid feature fusion…
• DiffLIME: Enhancing Explainability with a Diffusion-Based LIME Algorithm for Fault Diagnosis
  30 May 2025 1 repository listed
  Additionally, we compare our method against LIME, employing a set of metrics to quantify desirable properties of any explainable AI approach.
• A domain adaptation neural network for digital twin-supported fault diagnosis
  27 May 2025 1 repository listed
  For example, applying DANN to a baseline CNN model improves its accuracy from 70.
• Fault Diagnosis across Heterogeneous Domains via Self-Adaptive Temporal-Spatial Attention and Sample Generation
  16 May 2025 1 repository listed
  To address this problem, a novel fault diagnosis model named self-adaptive temporal-spatial attention network (TSA-SAN) is proposed.
• 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.
• HSE: A plug-and-play module for unified fault diagnosis foundation models
  26 Apr 2025 1 repository listed
  To address these limitations, we propose a novel Heterogeneous Signal Embedding (HSE) module that projects heterogeneous signals into a unified signal space, offering seamless integration with existing IFD architectures…
• Compound Fault Diagnosis for Train Transmission Systems Using Deep Learning with Fourier-enhanced Representation
  9 Apr 2025 1 repository listed
  Fault diagnosis prevents train disruptions by ensuring the stability and reliability of their transmission systems.
• ZETA: a library for Zonotope-based EsTimation and fAult diagnosis of discrete-time systems
  8 Apr 2025 1 repository listed
  This paper introduces ZETA, a new MATLAB library for Zonotope-based EsTimation and fAult diagnosis of discrete-time systems.
• Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes
  7 Apr 2025 1 repository listed
  The proposed model is applied to Tennessee Eastman process dataset and three-phase flow facility dataset.
• Source-free domain adaptation based on label reliability for cross-domain bearing fault diagnosis
  11 Mar 2025 1 repository listed
  We argue that every target sample can contribute to model adaptation, and accordingly propose in this paper a novel SFDA-based approach for bearing fault diagnosis that exploits both reliable and unreliable…
• Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for bearing fault diagnosis
  27 Feb 2025 1 repository listed
  In recent years, artificial intelligence, particularly machine learning and deep learning has ushered in a new era of technological advancements leading to significant progress across various domains.
• Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation
  16 Jan 2025 1 repository listed
  Class-incremental fault diagnosis requires a model to adapt to new fault classes while retaining previous knowledge.
• Multi-Condition Fault Diagnosis of Dynamic Systems: A Survey, Insights, and Prospects
  27 Dec 2024 1 repository listed
  With the increasing complexity of industrial production systems, accurate fault diagnosis is essential to ensure safe and efficient system operation.
• 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…
• Use Digital Twins to Support Fault Diagnosis From System-level Condition-monitoring Data
  2 Nov 2024 1 repository listed
  Deep learning models have created great opportunities for data-driven fault diagnosis but they require large amount of labeled failure data for training.
• COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data
  17 Jul 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Utilizing the characteristics of the recipe, we maximize the use of samples with missing values, derive embeddings from intersections with an initial graph that incorporates expert knowledge and chronological order, and…
• LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis
  2 Jul 2024 1 repository listed
  These findings provide insights into the strengths and weaknesses of LLMs in multilingual environments and the effectiveness of different prompt strategies.
• Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial Data
  19 Jun 2024 1 repository listed
  With the development of intelligent manufacturing and the increasing complexity of industrial production, root cause diagnosis has gradually become an important research direction in the field of industrial fault…
• Modulated differentiable STFT and balanced spectrum metric for freight train wheelset bearing cross-machine transfer monitoring under speed fluctuations
  17 Jun 2024 1 repository listed
  Therefore, a cross-machine transfer diagnosis (pyDSN) network coupled with interpretable modulated differentiable short-time Fourier transform (STFT) and physics-informed balanced spectrum quality metric is proposed to…
• 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).
• 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.

Syntology lines on 2 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.