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A Generalized Predictive Framework for Data Driven Prognostics and Diagnostics using Machine Logs

https://doi.org/10.1109/tencon.2018.8650152
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.jpowsour.2008.12.014openalex-snapshot
Model-based fault diagnosis in PEM fuel cell systems
inferredcites →https://doi.org/10.1016/j.ymssp.2005.09.012openalex-snapshot
A review on machinery diagnostics and prognostics implementing condition-based maintenance
inferredcites →https://doi.org/10.1016/j.ymssp.2015.10.017openalex-snapshot
Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1080/15732479.2016.1149871openalex-snapshot
A comparative study of time-based maintenance and condition-based maintenance for optimal choice of maintenance policy
inferredcites →https://doi.org/10.1109/tr.2011.2104433openalex-snapshot
Machine Condition Classification Using Deterioration Feature Extraction and Anomaly Determination
inferredcites →https://doi.org/10.1109/tr.2012.2194177openalex-snapshot
A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models
inferredcites →https://doi.org/10.1145/1390156.1390161openalex-snapshot
Bolasso
inferredcites →https://doi.org/10.1145/2370216.2370268openalex-snapshot
An integrated framework for human activity classification
inferredcites →https://doi.org/10.1177/0954410011421717openalex-snapshot
Model-based fault diagnosis for aerospace systems: a survey
inferredcites →https://doi.org/10.1214/07-aoas148openalex-snapshot
Predictive learning via rule ensembles
inferredcites →https://doi.org/10.18637/jss.v015.i09openalex-snapshot
Support Vector Machines in R
inferredcites →https://doi.org/10.2172/883846openalex-snapshot
Final Technical Report
inferredcites →https://doi.org/10.3389/fnbot.2013.00021openalex-snapshot
Gradient boosting machines, a tutorial

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A review on the advancements and challenges of artificial intelligence based models for predictive maintenance of water injection pumps in the oil and gas industry
inferred← citeshttps://doi.org/10.1016/j.cie.2022.108972openalex-snapshot
Fault Classification and Timing Prediction Based on Shipment Inspection Data and Maintenance Reports for Semiconductor Manufacturing Equipment
inferred← citeshttps://doi.org/10.1016/j.jmsy.2021.08.012openalex-snapshot
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review
inferred← citeshttps://doi.org/10.1016/j.matpr.2022.06.250openalex-snapshot
Conceptualisation of a novel technique to incorporate artificial intelligence in preventive and predictive maintenance in tandem
inferred← citeshttps://doi.org/10.1016/j.procir.2021.11.011openalex-snapshot
Towards Data Acquisition for Predictive Maintenance of Industrial Robots
inferred← citeshttps://doi.org/10.1109/access.2021.3128283openalex-snapshot
IT Infrastructure Anomaly Detection and Failure Handling: A Systematic Literature Review Focusing on Datasets, Log Preprocessing, Machine & Deep Learning Approaches and Automated Tool
inferred← citeshttps://doi.org/10.1109/icais50930.2021.9395903openalex-snapshot
A Review: Condition Based Techniques and Predictive Maintenance for Motor
inferred← citeshttps://doi.org/10.1109/is61756.2024.10705190openalex-snapshot
An Investigation into Unsupervised Anomaly Detection for Data-Driven Predictive Maintenance
inferred← citeshttps://doi.org/10.12694/scpe.v25i5.3191openalex-snapshot
Optimizing Waste Reduction in Manufacturing Processes Utilizing IoT Data with Machine Learning Approach for Sustainable Production
inferred← citeshttps://doi.org/10.33430/v30n1thie-2022-0047openalex-snapshot
Data-driven system prognostics and diagnostics for SMT component placement machines
inferred← citeshttps://doi.org/10.3390/ai6060117openalex-snapshot
Privacy-Preserving Interpretability: An Explainable Federated Learning Model for Predictive Maintenance in Sustainable Manufacturing and Industry 4.0
inferred← citeshttps://doi.org/10.3390/app14073105openalex-snapshot
AdaBoost Ensemble Approach with Weak Classifiers for Gear Fault Diagnosis and Prognosis in DC Motors
inferred← citeshttps://doi.org/10.3390/machines12060357openalex-snapshot
Predicting Machine Failures from Multivariate Time Series: An Industrial Case Study
inferred← citeshttps://doi.org/10.3390/s22239065openalex-snapshot
Developing an Improved Ensemble Learning Approach for Predictive Maintenance in the Textile Manufacturing Process
inferred← citeshttps://doi.org/10.3390/su12198211openalex-snapshot
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
inferred← citeshttps://doi.org/10.3390/technologies13020067openalex-snapshot
A Survey on Data Mining for Data-Driven Industrial Assets Maintenance
inferred← citeshttps://doi.org/10.46335/ijies.2022.7.9.16openalex-snapshot
Predictive Maintenance using Machine Learning on Industrial Water Pumps
inferred← citeshttps://doi.org/10.7717/peerj-cs.2016openalex-snapshot
Predictive maintenance in Industry 4.0: a survey of planning models and machine learning techniques
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