Related references
Note: Only part of the references are listed.Machine learning and data mining in manufacturing
Alican Dogan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
Age replacement policy in the case of no data: the effect of Weibull parameter estimation
Fabio Sgarbossa et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2020)
Applications of machine learning methods for engineering risk assessment - A review
Jeevith Hegde et al.
SAFETY SCIENCE (2020)
Toward a methodology of requirements definition for prognostics and health management system to support aircraft predictive maintenance
Rui Li et al.
AEROSPACE SCIENCE AND TECHNOLOGY (2020)
Applications of machine learning to machine fault diagnosis: A review and roadmap
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics
Juan Jose Montero Jimenez et al.
JOURNAL OF MANUFACTURING SYSTEMS (2020)
A survey on decision-making based on system reliability in the context of Industry 4.0
Marcos Leandro Hoffmann Souza et al.
JOURNAL OF MANUFACTURING SYSTEMS (2020)
Failure mode and effect analysis improvement: A systematic literature review and future research agenda
Jia Huang et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
Recent advances in sensor fault diagnosis: A review
Daoliang Li et al.
SENSORS AND ACTUATORS A-PHYSICAL (2020)
Asset maintenance optimisation approaches in the chemical and process industries - A review
Hon Huin Chin et al.
CHEMICAL ENGINEERING RESEARCH & DESIGN (2020)
Predictive maintenance in the Industry 4.0: A systematic literature review
Tiago Zonta et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2020)
Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges
Jovani Dalzochio et al.
COMPUTERS IN INDUSTRY (2020)
Machine learning applications in production lines: A systematic literature review
Ziqiu Kang et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2020)
A review on lubricant condition monitoring information analysis for maintenance decision support
James M. Wakiru et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Improving devices communication in Industry 4.0 wireless networks
Rafael Kunst et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)
A systematic literature review of machine learning methods applied to predictive maintenance
Thyago P. Carvalho et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2019)
Total Cost of Ownership Driven Methodology for Predictive Maintenance Implementation in Industrial Plants
I Roda et al.
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: PRODUCTION MANAGEMENT FOR THE FACTORY OF THE FUTURE, PT I (2019)
Cloud-enhanced predictive maintenance
Bernard Schmidt et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)
Dependability analysis of safety critical systems: Issues and challenges
Raj kamal Kaur et al.
ANNALS OF NUCLEAR ENERGY (2018)
Initiating predictive maintenance for a conveyor motor in a bottling plant using industry 4.0 concepts
Kahiomba Sonia Kiangala et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)
Artificial intelligence for fault diagnosis of rotating machinery: A review
Ruonan Liu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
A review on data-driven fault severity assessment in rolling bearings
Mariela Cerrada et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Recent advances in prognostics and health management for advanced manufacturing paradigms
Tangbin Xia et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)
Challenges and Opportunities of Condition-based Predictive Maintenance: A Review
Nazmus Sakib et al.
6TH CIRP GLOBAL WEB CONFERENCE - ENVISAGING THE FUTURE MANUFACTURING, DESIGN, TECHNOLOGIES AND SYSTEMS IN INNOVATION ERA (CIRPE 2018) (2018)
Minimizing economic and environmental impacts through an optimal preventive replacement schedule: Model and application
Feri Afrinaldi et al.
JOURNAL OF CLEANER PRODUCTION (2017)
Building Multiversal Semantic Maps for Mobile Robot Operation
Jose-Raul Ruiz-Sarmiento et al.
KNOWLEDGE-BASED SYSTEMS (2017)
A cost driven predictive maintenance policy for structural airframe maintenance
Yiwei Wang et al.
CHINESE JOURNAL OF AERONAUTICS (2017)
A review on prognostic techniques for non-stationary and non-linear rotating systems
Man Shan Kan et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2015)
Key Performance Indicators for Integrating Maintenance Management and Manufacturing Planning and Control
Harald Rodseth et al.
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INNOVATIVE PRODUCTION MANAGEMENT TOWARDS SUSTAINABLE GROWTH (AMPS 2015), PT I (2015)
Condition based maintenance of machine tools-A review
Deepam Goyal et al.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY (2015)
Risk evaluation approaches in failure mode and effects analysis: A literature review
Hu-Chen Liu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
An overview of time-based and condition-based maintenance in industrial application
Rosmaini Ahmad et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2012)
A Predictive Maintenance System for Epitaxy Processes Based on Filtering and Prediction Techniques
Gian Antonio Susto et al.
IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING (2012)
On establishing cost-effective condition-based maintenance Exemplified for vibration-based maintenance in case companies
Basim Al-Najjar
JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING (2012)
Current status of machine prognostics in condition-based maintenance: a review
Ying Peng et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2010)
Sensor Systems for Prognostics and Health Management
Shunfeng Cheng et al.
SENSORS (2010)
A review on machinery diagnostics and prognostics implementing condition-based maintenance
Andrew K. S. Jardine et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2006)
Review of 62 risk analysis methodologies of industrial plants
J Tixier et al.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2002)
Continuous-time predictive-maintenance scheduling for a deteriorating system
A Grall et al.
IEEE TRANSACTIONS ON RELIABILITY (2002)