Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: a systematic literature review

Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning

(2021) Simon Zhai et al.   JOURNAL OF MANUFACTURING SYSTEMS

A Deep Learning Model for Predictive Maintenance in Cyber-Physical Production Systems Using LSTM Autoencoders

(2021) Xanthi Bampoula et al.   SENSORS

K-MDTSC: K-Multi-Dimensional Time-Series Clustering Algorithm

(2021) Danilo Giordano et al.   Electronics

Intelligent machine learning based total productive maintenance approach for achieving zero downtime in industrial machinery

(2021) T. Roosefert Mohan et al.   COMPUTERS & INDUSTRIAL ENGINEERING

An Applicable Predictive Maintenance Framework for the Absence of Run-to-Failure Data

(2021) Donghwan Kim et al.   Applied Sciences-Basel

Application of data-driven models to predictive maintenance: Bearing wear prediction at TATA steel

(2021) X. Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fast Spectral Correlation Based on Sparse Representation Self-Learning Dictionary and Its Application in Fault Diagnosis of Rotating Machinery

(2020) Hongchao Wang et al.   COMPLEXITY

A CPPS based on GBDT for predicting failure events in milling

(2020) Y. Zhang et al.   The International Journal of Advanced Manufacturing Technology

Anomaly detection and event mining in cold forming manufacturing processes

(2020) Diego Nieves Avendano et al.   The International Journal of Advanced Manufacturing Technology

A generic fault prognostics algorithm for manufacturing industries using unsupervised machine learning classifiers

(2020) Nikolaos Kolokas et al.   SIMULATION MODELLING PRACTICE AND THEORY

Application of Data Mining in Failure Estimation of Cold Forging Machines: An Industrial Research

(2019) Buse TURKOGLU et al.   Studies in Informatics and Control

Prognostic Model Development with Missing Labels

(2019) Patrick Zschech et al.   Business & Information Systems Engineering

Machine learning and AI for long-term fault prognosis in complex manufacturing systems

(2019) Satish T.S. Bukkapatnam et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey

(2019) Weiting Zhang et al.   IEEE Systems Journal

A systematic literature review of machine learning methods applied to predictive maintenance

(2019) Thyago P. Carvalho et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Which Academic Search Systems are Suitable for Systematic Reviews or Meta‐Analyses? Evaluating Retrieval Qualities of Google Scholar, PubMed and 26 other Resources

(2019) Michael Gusenbauer et al.   Research Synthesis Methods

A predictive model for the maintenance of industrial machinery in the context of industry 4.0

(2019) Jose-Raul Ruiz-Sarmiento et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A Global Manufacturing Big Data Ecosystem for Fault Detection in Predictive Maintenance

(2019) Wenjin Yu et al.   IEEE Transactions on Industrial Informatics

Estimation of energy consumption in machine learning

(2019) Eva García-Martín et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Tool condition prognostics using logistic regression with penalization and manifold regularization

(2018) Jianbo Yu   APPLIED SOFT COMPUTING

Forecasting fault events for predictive maintenance using data-driven techniques and ARMA modeling

(2018) Marcia Baptista et al.   COMPUTERS & INDUSTRIAL ENGINEERING

The industrial internet of things (IIoT): An analysis framework

(2018) Hugh Boyes et al.   COMPUTERS IN INDUSTRY

Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification

(2018) Bo Luo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models

(2018) Wasim Ahmad et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing

(2018) Muhammad Syafrudin et al.   SENSORS

A survey on knowledge transfer for manufacturing data analytics

(2018) Seung Hwan Bang et al.   COMPUTERS IN INDUSTRY

Intelligent Fault Diagnosis of the High-Speed Train With Big Data Based on Deep Neural Networks

(2017) Hexuan Hu et al.   IEEE Transactions on Industrial Informatics

Wind Turbine Gearbox Failure Identification With Deep Neural Networks

(2017) Long Wang et al.   IEEE Transactions on Industrial Informatics

An enhancement deep feature fusion method for rotating machinery fault diagnosis

(2017) Haidong Shao et al.   KNOWLEDGE-BASED SYSTEMS

Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: Industry 4.0 scenario

(2017) Zhe Li et al.   Advances in Manufacturing

Efficient and flexible algorithms for monitoring distance-based outliers over data streams

(2016) Maria Kontaki et al.   INFORMATION SYSTEMS

Fault diagnostics of spur gear using decision tree and fuzzy classifier

(2016) A. Krishnakumari et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

WPD-PCA-Based Laser Welding Process Monitoring and Defects Diagnosis by Using FNN and SVM

(2015) Deyong You et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Machine Learning for Predictive Maintenance: A Multiple Classifier Approach

(2015) Gian Antonio Susto et al.   IEEE Transactions on Industrial Informatics

A review on prognostic techniques for non-stationary and non-linear rotating systems

(2015) Man Shan Kan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis

(2015) Chuan Li et al.   NEUROCOMPUTING

A survey on concept drift adaptation

(2014) João Gama et al.   ACM COMPUTING SURVEYS

Chatter in machining processes: A review

(2011) Guillem Quintana et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

ViewpointResearch evaluation for computer science

(2009) Bertrand Meyer et al.   COMMUNICATIONS OF THE ACM

A Survey of Fault Detection, Isolation, and Reconfiguration Methods

(2009) Inseok Hwang et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration

(2009) Alessandro Liberati et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

On the concept of e-maintenance: Review and current research

(2007) Alexandre Muller et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY