mlsanityData to 14 Oct 2026

Potential, Challenges and Future Directions for Deep Learning in Prognostics and Health Management Applications

arXiv 2005.02144 ↗First posted 5 May 2020eess.SPcited by 64

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Abstract (arXiv)

Deep learning applications have been thriving over the last decade in many different domains, including computer vision and natural language understanding. The drivers for the vibrant development of deep learning have been the availability of abundant data, breakthroughs of algorithms and the advancements in hardware. Despite the fact that complex industrial assets have been extensively monitored and large amounts of condition monitoring signals have been collected, the application of deep learning approaches for detecting, diagnosing and predicting faults of complex industrial assets has been limited. The current paper provides a thorough evaluation of the current developments, drivers, challenges, potential solutions and future research needs in the field of deep learning applied to Prognostics and Health Management (PHM) applications.

Key facts. Cited by 64 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 May 2020.

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Citing papers per year: 2021: 10; 2022: 10; 2023: 11; 2024: 13; 2025: 14; 2026: 6.

64 papers.

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  1. 2023SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalizationcited by 48
  2. 2021Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Seriescited by 29
  3. 2022A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologiescited by 28
  4. 2024MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalitiescited by 28
  5. 2023Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosiscited by 23
  6. 2023Domain Adaptation via Alignment of Operation Profile for Remaining Useful Lifetime Predictioncited by 11
  7. 2024Residual-based Attention Physics-informed Neural Networks for Spatio-Temporal Ageing Assessment of Transformers Operated in Renewable Power Plantscited by 11
  8. 2022Controlled Generation of Unseen Faults for Partial and Open-Partial Domain Adaptationcited by 10
  9. 2022Robust Time Series Denoising with Learnable Wavelet Packet Transformcited by 10
  10. 2025DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutionscited by 10
  11. 2023A Benchmark on Uncertainty Quantification for Deep Learning Prognosticscited by 9
  12. 2023A Comparison of Residual-based Methods on Fault Detectioncited by 8
38 more
  1. 2021Damage detection using in-domain and cross-domain transfer learningcited by 7
  2. 2024Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamicscited by 7
  3. 2024Interpretable Prognostics with Concept Bottleneck Modelscited by 6
  4. 2021Industrial Machine Tool Component Surface Defect Datasetcited by 5
  5. 2023Semi-Supervised Health Index Monitoring with Feature Generation and Fusioncited by 5
  6. 2025Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case studycited by 5
  7. 2021An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applicationscited by 4
  8. 2022A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learningcited by 4
  9. 2025Hierarchical Testing with Rabbit Optimization for Industrial Cyber-Physical Systemscited by 4
  10. 2021Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessmentcited by 3
  11. 2022Learning Informative Health Indicators Through Unsupervised Contrastive Learningcited by 3
  12. 2023Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problemcited by 3
  13. 2024Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regressioncited by 3
  14. 2024PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classificationcited by 3
  15. 2024RmGPT: A Foundation Model with Generative Pre-trained Transformer for Fault Diagnosis and Prognosis in Rotating Machinerycited by 3
  16. 2025UniFault: A Fault Diagnosis Foundation Model from Bearing Datacited by 3
  17. 2025Disentangling Slow and Fast Temporal Dynamics in Degradation Inference with Hierarchical Differential Modelscited by 3
  18. 2021Uncertainty-aware Remaining Useful Life predictorcited by 2
  19. 2022Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Researchcited by 2
  20. 2022Towards a Taxonomy for the Use of Synthetic Data in Advanced Analyticscited by 2
  21. 2023Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosiscited by 2
  22. 2023Domain knowledge-informed Synthetic fault sample generation with Health Data Map for cross-domain Planetary Gearbox Fault Diagnosiscited by 2
  23. 2024A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operationscited by 2
  24. 2024Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditionscited by 2
  25. 2025An Unsupervised Deep Explainable AI Framework for Localization of Concurrent Replay Attacks in Nuclear Reactor Signalscited by 2
  26. 2025I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimationcited by 2
  27. 2025Time-Vertex Machine Learning for Optimal Sensor Placement in Temporal Graph Signals: Applications in Structural Health Monitoringcited by 2
  28. 2022Superpixel perception graph neural network for intelligent defect detection of aero-engine bladecited by 1
  29. 2024Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoringcited by 1
  30. 2024Active learning for regression in engineering populations: A risk-informed approachcited by 1
  31. 2025DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learningcited by 1
  32. 2021Spatiotemporal Ground Reaction Force Analysis using Convolutional Neural Networks to Analyze Parkinsonian Gaitcited by 0
  33. 2021Intelligent Vision Based Wear Forecasting on Surfaces of Machine Tool Elementscited by 0
  34. 2021On Adversarial Vulnerability of PHM algorithms: An Initial Studycited by 0
  35. 2021Technical Language Supervision for Intelligent Fault Diagnosis in Process Industrycited by 0
  36. 2022Improving the Performance of DNN-based Software Services using Automated Layer Cachingcited by 0
  37. 2022Automotive Multilingual Fault Diagnosiscited by 0
  38. 2023Through-life Monitoring of Resource-constrained Systems and Fleetscited by 0

50 most cited of 64 All 64 (JSON)