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A full‐condition monitoring method for nonstationary dynamic chemical processes with cointegration and slow feature analysis

AIChE journal, 2018-05, Vol.64 (5), p.1662-1681

2018

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An Incorrect Data Detection Method for Big Data Cleaning of Machinery Condition Monitoring

IEEE transactions on industrial electronics (1982), 2020-03, Vol.67 (3), p.2326-2336

2020

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A Novel Statistical Time-Frequency Analysis for Rotating Machine Condition Monitoring

IEEE transactions on industrial electronics (1982), 2020-01, Vol.67 (1), p.531-541

2020

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An Overview of Condition Monitoring Techniques for Capacitors in DC-Link Applications

IEEE transactions on power electronics, 2021-04, Vol.36 (4), p.3692-3716

2021

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A review on data-driven fault severity assessment in rolling bearings

Mechanical systems and signal processing, 2018-01, Vol.99, p.169-196

2018

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An overview of acoustic emission inspection and monitoring technology in the key components of renewable energy systems

Mechanical systems and signal processing, 2021-02, Vol.148, p.107146, Article 107146

2021

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Using SCADA data for wind turbine condition monitoring – a review

IET renewable power generation, 2017-03, Vol.11 (4), p.382-394

2017

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The concept and progress of intelligent spindles: A review

International journal of machine tools & manufacture, 2017-01, Vol.112, p.21-52

2017

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Intelligent condition monitoring method for bearing faults from highly compressed measurements using sparse over-complete features

Mechanical systems and signal processing, 2018-01, Vol.99, p.459-477

2018

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Fully interpretable neural network for locating resonance frequency bands for machine condition monitoring

Mechanical systems and signal processing, 2022-04, Vol.168, p.108673, Article 108673

2022

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The future of risk assessment

Reliability engineering & system safety, 2018-09, Vol.177, p.176-190

Zio, E.

2018

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Tool condition monitoring using spectral subtraction and convolutional neural networks in milling process

International journal of advanced manufacturing technology, 2018-10, Vol.98 (9-12), p.3217-3227

2018

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A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings

Measurement : journal of the International Measurement Confederation, 2020-01, Vol.149, p.107002, Article 107002

2020

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Multistep Dynamic Slow Feature Analysis for Industrial Process Monitoring

IEEE transactions on instrumentation and measurement, 2020-12, Vol.69 (12), p.9535-9548

2020

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Dynamic modeling for rigid rotor bearing systems with a localized defect considering additional deformations at the sharp edges

Journal of sound and vibration, 2017-06, Vol.398, p.84-102

2017

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Lubricating oil conditioning sensors for online machine health monitoring – A review

Tribology international, 2017-05, Vol.109, p.473-484

2017

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Review of tool condition monitoring methods in milling processes

International journal of advanced manufacturing technology, 2018-05, Vol.96 (5-8), p.2509-2523

2018

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Wind Turbine Gearbox Anomaly Detection Based on Adaptive Threshold and Twin Support Vector Machines

IEEE transactions on energy conversion, 2021-12, Vol.36 (4), p.3462-3469

2021

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A Review of Feature Extraction Methods in Vibration-Based Condition Monitoring and Its Application for Degradation Trend Estimation of Low-Speed Slew Bearing

Machines (Basel), 2017-12, Vol.5 (4), p.21

2017

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A weighted hidden Markov model approach for continuous-state tool wear monitoring and tool life prediction

International journal of advanced manufacturing technology, 2017-07, Vol.91 (1-4), p.201-211

2017

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Review of tool condition monitoring in machining and opportunities for deep learning

International journal of advanced manufacturing technology, 2020-07, Vol.109 (3-4), p.953-974

2020

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A review on deep learning in machining and tool monitoring: methods, opportunities, and challenges

International journal of advanced manufacturing technology, 2021-08, Vol.115 (9-10), p.2683-2709

2021

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Physics-of-Failure, Condition Monitoring, and Prognostics of Insulated Gate Bipolar Transistor Modules: A Review

IEEE transactions on power electronics, 2015-05, Vol.30 (5), p.2413-2426

2015

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Analysis of SCADA data for early fault detection, with application to the maintenance management of wind turbines

Renewable energy, 2018-01, Vol.115, p.521-532

2018

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A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends

Sensors (Basel, Switzerland), 2020-12, Vol.21 (1), p.108

2020

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A full‐condition monitoring method for nonstationary dynamic chemical processes with cointegration and slow feature analysis

An Incorrect Data Detection Method for Big Data Cleaning of Machinery Condition Monitoring

A Novel Statistical Time-Frequency Analysis for Rotating Machine Condition Monitoring

An Overview of Condition Monitoring Techniques for Capacitors in DC-Link Applications

A review on data-driven fault severity assessment in rolling bearings

An overview of acoustic emission inspection and monitoring technology in the key components of renewable energy systems

Using SCADA data for wind turbine condition monitoring – a review

The concept and progress of intelligent spindles: A review

Intelligent condition monitoring method for bearing faults from highly compressed measurements using sparse over-complete features

Fully interpretable neural network for locating resonance frequency bands for machine condition monitoring

The future of risk assessment

Tool condition monitoring using spectral subtraction and convolutional neural networks in milling process

A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings

Multistep Dynamic Slow Feature Analysis for Industrial Process Monitoring

Dynamic modeling for rigid rotor bearing systems with a localized defect considering additional deformations at the sharp edges

Lubricating oil conditioning sensors for online machine health monitoring – A review

Review of tool condition monitoring methods in milling processes

Wind Turbine Gearbox Anomaly Detection Based on Adaptive Threshold and Twin Support Vector Machines

A Review of Feature Extraction Methods in Vibration-Based Condition Monitoring and Its Application for Degradation Trend Estimation of Low-Speed Slew Bearing

A weighted hidden Markov model approach for continuous-state tool wear monitoring and tool life prediction

Review of tool condition monitoring in machining and opportunities for deep learning

A review on deep learning in machining and tool monitoring: methods, opportunities, and challenges

Physics-of-Failure, Condition Monitoring, and Prognostics of Insulated Gate Bipolar Transistor Modules: A Review

Analysis of SCADA data for early fault detection, with application to the maintenance management of wind turbines

A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends

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