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Machine Fault Diagnosis Techniques
Latest researchEvidence window ending 2026-06-20
Latest Machine Fault Diagnosis Techniques research
Scollr indexed 617 new Machine Fault Diagnosis Techniques papers in the last 30 days and 1,430 in the last 90 days. Browse the most relevant recent papers below, then follow the topic in the app to turn this into a personalized research feed.
Recent papers
Latest Machine Fault Diagnosis Techniques papers
The most relevant recent papers Scollr indexed in this topic, ranked by topic relevance, citations, and recency.
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Machine Fault Diagnosis Techniques
Low-cost broken rotor bar fault diagnosis method for induction motors
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Machine Fault Diagnosis Techniques
A Prognostic Framework for Rolling Bearing RUL Prediction Using Dynamic MAD Preprocessing and AFF‐Attention Health Indicator Fusion
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Machine Fault Diagnosis Techniques
A novel time-frequency multi-feature adaptive feature fusion framework for bearing fault diagnosis under noisy conditions
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Machine Fault Diagnosis Techniques
Correlation-Driven Multisensory Fusion for Intelligent Fault Analysis in Induction Motors
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Machine Fault Diagnosis Techniques
Intelligent fault diagnosis for gearbox via multi-head attention with Kolmogorov-Arnold network using multi-view feature fusion
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Machine Fault Diagnosis Techniques
Structurally guided nonnegative matrix factorization for compound fault feature decoupling of rotating machinery
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Machine Fault Diagnosis Techniques
IoT-Driven Robust Bearing Fault Diagnosis for Induction Motors Under Operating-Condition Shift
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Fault Detection and Control Systems
An attention‐enhanced graph isomorphism network for chemical processes fault diagnosis
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Fault Detection and Control Systems
A process-guided uncertainty-aware deep learning framework for reliable and interpretable industrial fault diagnosis
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Fault Detection and Control Systems
A Wavelet-Based Evolving Fuzzy Framework for Fault Diagnosis in the Tennessee Eastman Process
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Fault Detection and Control Systems
LVW‐ k NN : A local variable weighted k nearest neighbours algorithm for multimodal and nonlinear process fault detection
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Fault Detection and Control Systems
Memory-Enhanced and Prediction-Assisted Conditional Variational Autoencoder for Unsupervised Fault Detection in Industrial Processes
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Fault Detection and Control Systems
A Statistical Modeling and Monitoring Framework for Dynamic Processes Based on Knowledge Graph and Dissimilarity Analysis
What is changing
What is changing in Machine Fault Diagnosis Techniques
Daily publication volume across the last 30 days, drawn from Scollr's indexed literature.
Active authors
Active authors in Machine Fault Diagnosis Techniques
Researchers publishing the most papers in this topic across the last 90 days.
FAQ
Keeping up with Machine Fault Diagnosis Techniques research
How do I keep up with new Machine Fault Diagnosis Techniques research?
Follow Machine Fault Diagnosis Techniques in Scollr. New papers in the topic flow into a personalized feed, and you can save the studies worth reading without setting up email alerts. This page also lists the most relevant recent papers so you can scan what changed at a glance.
What are the latest Machine Fault Diagnosis Techniques papers?
The recent papers section above is rebuilt continuously from Scollr's indexed literature, ranked by topic relevance, citations, and recency. Each links to its full record so you can read the abstract and follow the authors and sources behind it.
How do I find related work in Machine Fault Diagnosis Techniques?
Open any paper and build a literature map to see its references, citing papers, and related research in one workspace. The related topics list on this page also routes you into adjacent research areas Scollr tracks.