4.6 Article

Optimizing the preventive maintenance frequency with causal machine

Related references

Note: Only part of the references are listed.
Article Computer Science, Information Systems

Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies

Toon Vanderschueren et al.

Summary: Predictive models are increasingly used to optimize decision-making and minimize costs. This work compared the predict-then-optimize approach with the predict-and-optimize approach in cost-sensitive classification. The key finding was that the decision-making strategy was generally more effective than training with a task-specific loss or their combination.

INFORMATION SCIENCES (2022)

Article Engineering, Multidisciplinary

Transfer learning method for rolling bearing fault diagnosis under different working conditions based on CycleGAN

Jiantong Zhao et al.

Summary: This paper proposes a cross-working condition data supplement method based on CycleGAN and a dynamics model, which can approximate the missing parts of existing data using limited available data and be used for diagnosis in the target domain. Experimental results demonstrate that this method effectively improves bearing fault diagnosis performance in cross-domain and cross-working condition settings.

MEASUREMENT SCIENCE AND TECHNOLOGY (2022)

Article Management

Smart Predict, then Optimize

Adam N. Elmachtoub et al.

Summary: This text introduces a new framework called "Smart Predict, then Optimize" that leverages the structure of optimization problems to design better prediction models. Training with the SPO+ loss function can significantly improve performance under the predict-then-optimize paradigm.

MANAGEMENT SCIENCE (2022)

Article Management

Pricing service maintenance contracts using predictive analytics

Laurens Deprez et al.

Summary: With manufacturers shifting focus, full-service maintenance contracts are gaining popularity, requiring considerations for the diversity in machine configurations. Pricing strategy should be differentiated based on expected costs and machine characteristics to prevent adverse selection from impacting profitability.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)

Review Engineering, Industrial

Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review

Joerg Leukel et al.

Summary: The review of failure prediction in industrial maintenance using ML technology identified issues such as heterogeneity in systems and domains addressed, adoption of up-to-date approaches, lack of performance evaluation to mitigate overfitting, and varying reporting of experimental designs and results. Opportunities for future research include exploring new methods and suggesting ways to facilitate comparison and integration of evidence.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

Article Engineering, Industrial

AKSNet: A novel convolutional neural network with adaptive kernel width and sparse regularization for machinery fault diagnosis

Zhuang Ye et al.

Summary: The paper proposes a new deep neural network (DNN) model, adaptive kernel sparse network (AKSNet), to extract multi-scale fault features from vibration signals. AKSNet integrates key techniques such as adaptive kernel selection, channel attention, and spatial attention to effectively improve fault diagnosis performance of the classifier.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

Article Computer Science, Information Systems

A Survey on Causal Inference

Liuyi Yao et al.

Summary: Causal inference is a critical research topic across various domains and has gained increasing attention in recent years. Estimating causal effects from observational data has become an appealing research direction, driven by the advancement of machine learning techniques. The diverse range of methods and wide applications make it significant for researchers and practitioners alike.

ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2021)

Review Computer Science, Information Systems

A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications

Alexandros Bousdekis et al.

Summary: Decision-making for manufacturing and maintenance operations benefits from Industry 4.0's advanced sensor infrastructure. Future research directions include coupling decision-making with augmented reality, addressing data uncertainty, integrating maintenance decision-making with other operations, handling big data, and incorporating advanced security mechanisms.

ELECTRONICS (2021)

Article Economics

POLICY LEARNING WITH OBSERVATIONAL DATA

Susan Athey et al.

Summary: The study proposes a new method for learning treatment assignment policies that satisfy application-specific constraints, optimizing binary or continuous treatments and utilizing observational data to identify causal effects. The method provides strong guarantees for the asymptotic utilitarian regret of the resulting policy.

ECONOMETRICA (2021)

Review Management

A review on maintenance optimization

Bram de Jonge et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)

Article Management

From Predictive to Prescriptive Analytics

Dimitris Bertsimas et al.

MANAGEMENT SCIENCE (2020)

Article Computer Science, Artificial Intelligence

Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation

Ramasamy Savitha et al.

APPLIED SOFT COMPUTING (2020)

Article Green & Sustainable Science & Technology

Machine Learning Approach Using MLP and SVM Algorithms for the Fault Prediction of a Centrifugal Pump in the Oil and Gas Industry

Pier Francesco Orru et al.

SUSTAINABILITY (2020)

Article Engineering, Mechanical

A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks

Zhuyun Chen et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)

Article Computer Science, Hardware & Architecture

Generative Adversarial Networks

Ian Goodfellow et al.

COMMUNICATIONS OF THE ACM (2020)

Article Computer Science, Interdisciplinary Applications

PriMa: a prescriptive maintenance model for cyber-physical production systems

Fazel Ansari et al.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2019)

Review Computer Science, Interdisciplinary Applications

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

Thyago P. Carvalho et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2019)

Article Engineering, Mechanical

Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine

Zhuyun Chen et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Article Management

Sensitivity of optimal replacement policies to lifetime parameter estimates

Mitra Fouladirad et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2018)

Review Engineering, Industrial

A review on condition-based maintenance optimization models for stochastically deteriorating system

Suzan Alaswad et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)

Article Statistics & Probability

An Ameliorated Improvement Factor Model for Imperfect Maintenance and Its Goodness of Fit

Mimi Zhang et al.

TECHNOMETRICS (2017)

Article Engineering, Industrial

A procedural approach for realizing prescriptive maintenance planning in manufacturing industries

Kurt Matyas et al.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2017)

Article Multidisciplinary Sciences

Causal inference in economics and marketing

Hal R. Varian

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)

Article Engineering, Industrial

Optimum maintenance strategy under uncertainty in the lifetime distribution

Bram de Jonge et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2015)

Article Engineering, Industrial

ARA and ARI imperfect repair models: Estimation, goodness-of-fit and reliability prediction

Maria Luiza Guerra de Toledo et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2015)

Article Engineering, Industrial

A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions

Phuc Do et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2015)

Article Automation & Control Systems

Maintenance policy optimization-literature review and directions

Siew-Hong Ding et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015)

Article Engineering, Industrial

Industrial maintenance policy development: A quantitative framework

M. Faccio et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2014)

Review Engineering, Industrial

Imperfect repair modeling using Kijima type generalized renewal process

Monika Tanwar et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2014)

Article Engineering, Multidisciplinary

Condition-based Maintenance Optimization Using Neural Network-based Health Condition Prediction

Bairong Wu et al.

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL (2013)

Article Computer Science, Interdisciplinary Applications

An overview of time-based and condition-based maintenance in industrial application

Rosmaini Ahmad et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2012)

Article Computer Science, Hardware & Architecture

A Data-Driven Approach to Selecting Imperfect Maintenance Models

Yu Liu et al.

IEEE TRANSACTIONS ON RELIABILITY (2012)

Article Computer Science, Artificial Intelligence

An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring

Zhigang Tian

JOURNAL OF INTELLIGENT MANUFACTURING (2012)

Article Green & Sustainable Science & Technology

A Data-Mining Approach to Monitoring Wind Turbines

Andrew Kusiak et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2012)

Article Engineering, Industrial

A practical procedure for the selection of time-to-failure models based on the assessment of trends in maintenance data

D. M. Louit et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2009)

Article Economics

Causal effects in education

D Webbink

JOURNAL OF ECONOMIC SURVEYS (2005)

Article Statistics & Probability

Causal inference using potential outcomes: Design, modeling, decisions

DB Rubin

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2005)

Article Statistics & Probability

Causal inference with general treatment regimes: Generalizing the propensity score

K Imai et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2004)

Article Statistics & Probability

Direct and indirect causal effects via potential outcomes

DB Rubin

SCANDINAVIAN JOURNAL OF STATISTICS (2004)

Article Engineering, Industrial

Warranty analysis: An approach to modeling imperfect repairs

S Chukova et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2004)

Review Management

A survey of maintenance policies of deteriorating systems

HZ Wang

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2002)

Article Statistics & Probability

Marginal structural models to estimate the joint causal effect of nonrandomized treatments

MA Hernán et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)

Article Engineering, Industrial

Linking maintenance strategies to performance

L Swanson

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2001)