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An Integrated Approach for Fault Detection and Diagnosis Based on Product Operating Data and Online Reviews
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THE APPLICATION OF CLUSTER ANALYSIS IN STRATEGIC MANAGEMENT RESEARCH: AN ANALYSIS AND CRITIQUE
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Air‐gap eccentricity fault diagnosis and estimation in induction motors using unscented Kalman filter
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A Mathematical Theory of Communication
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Energy-based anomaly detection for mixed data
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A review on fault detection and diagnosis techniques: basics and beyond
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Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
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Real-time anomaly detection framework using a support vector regression for the safety monitoring of commercial aircraft
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Anomaly detection and critical attributes identification for products with multiple operating conditions based on isolation forest
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CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis
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High-dimensional time series analysis and anomaly detection: A case study of vehicle behavior modeling and unhealthy state detection
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Model-based fault-detection and diagnosis – status and applications
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Adaptive Kalman filter for actuator fault diagnosis
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Coupling data-driven and model-based methods to improve fault diagnosis
inferredcites →https://doi.org/10.1016/j.compind.2022.103606openalex-extracted
Data-driven value creation in Smart Product-Service System design: State-of-the-art and research directions
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Effective profiling of consumer information retrieval needs: a unified framework and empirical comparison
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Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud
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Unstructured borderline self-organizing map: Learning highly imbalanced, high-dimensional datasets for fault detection
inferredcites →https://doi.org/10.1016/j.procir.2021.03.041openalex-extracted
Overview on hybrid approaches to fault detection and diagnosis: Combining data-driven, physics-based and knowledge-based models
inferredcites →https://doi.org/10.1016/j.ress.2015.05.025openalex-extracted
An angle-based subspace anomaly detection approach to high-dimensional data: With an application to industrial fault detection
inferredcites →https://doi.org/10.1016/j.ress.2018.02.007openalex-extracted
Fault detection and identification method using observer-based residuals
inferredcites →https://doi.org/10.1016/j.ymssp.2009.05.016openalex-extracted
A divide and conquer approach to anomaly detection, localization and diagnosis
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Applications of machine learning to machine fault diagnosis: A review and roadmap
inferredcites →https://doi.org/10.1016/j.ymssp.2020.106625openalex-extracted
Application of neural network algorithm in fault diagnosis of mechanical intelligence
inferredcites →https://doi.org/10.1016/j.ymssp.2021.108105openalex-extracted
An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery
inferredcites →https://doi.org/10.1016/j.ymssp.2023.110559openalex-extracted
Principal component analysis approach for detecting faults in rotary machines based on vibrational and electrical fused data
inferredcites →https://doi.org/10.1016/s1474-6670(17)32149-3openalex-extracted
Model-Based Fault Detection and Diagnosis - Status and Applications
inferredcites →https://doi.org/10.1080/00207543.2016.1237788openalex-extracted
A model based approach to assess the performance of production systems in degraded mode
inferredcites →https://doi.org/10.1080/00207543.2017.1308573openalex-extracted
A condition monitoring approach for real-time monitoring of degrading systems using Kalman filter and logistic regression
inferredcites →https://doi.org/10.1080/00207543.2020.1788736openalex-extracted
Abnormal operation status identification in warehousing based on neighborhood information entropy considering mixed-valued attributes
inferredcites →https://doi.org/10.1080/0951192x.2014.900866openalex-extracted
Design modification supporting method based on product usage data in closed-loop PLM
inferredcites →https://doi.org/10.1080/0951192x.2017.1363410openalex-extracted
Transfer learning for aluminium extrusion electricity consumption anomaly detection via deep neural networks
inferredcites →https://doi.org/10.1093/biomet/30.1-2.81openalex-extracted
A NEW MEASURE OF RANK CORRELATION
inferredcites →https://doi.org/10.1109/tase.2020.2983061openalex-extracted
Data-Driven Approach for Fault Detection and Diagnostic in Semiconductor Manufacturing
inferredcites →https://doi.org/10.1109/tcst.2012.2187057openalex-extracted
Robust Fault Diagnosis of Aircraft Engines: A Nonlinear Adaptive Estimation-Based Approach
inferredcites →https://doi.org/10.1109/tkde.2023.3270293openalex-extracted
Deep Isolation Forest for Anomaly Detection
inferredcites →https://doi.org/10.1109/tsmc.2019.2961978openalex-extracted
Hidden Markov Model Based Fault Detection for Networked Singularly Perturbed Systems
inferredcites →https://doi.org/10.1109/yef-ece49388.2020.9171806openalex-extracted
Fault Diagnosis in DC-DC Power Converters Based on Parity Equations
inferredcites →https://doi.org/10.1111/poms.12303openalex-extracted
An Integrated Text Analytic Framework for Product Defect Discovery
inferredcites →https://doi.org/10.1115/1.4037246openalex-extracted
An Integrated Approach for Design Improvement Based on Analysis of Time-Dependent Product Usage Data
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Identification of Performance Requirements for Design of Smartphones Based on Analysis of the Collected Operating Data
inferredcites →https://doi.org/10.1145/2133360.2133363openalex-extracted
Isolation-Based Anomaly Detection
inferredcites →https://doi.org/10.1145/2830544.2830549openalex-extracted
Theoretical Foundations and Algorithms for Outlier Ensembles
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RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection
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