Works (23)
Updated: April 4th, 2024 04:53
2023 journal article
A convex two-dimensional variable selection method for the root-cause diagnostics of product defects
RELIABILITY ENGINEERING & SYSTEM SAFETY, 229.
author keywords: Fault/defect diagnostics; Quality control; Penalized matrix regression; Group lasso; Sparsity; Generalized linear model
Sources: Web Of Science, NC State University Libraries
Added: November 7, 2022
2023 journal article
Sparse Hierarchical Parallel Residual Networks Ensemble for Infrared Image Stream-Based Remaining Useful Life Prediction
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 19(10), 10613–10623.
author keywords: Degradation; Feature extraction; Streaming media; Residual neural networks; Ensemble learning; Computer architecture; Kernel; Hierarchical parallel residual network (HPRN); infrared image stream-based prognostics; remaining useful life (RUL) prediction; sparse ensemble
TL;DR:
A sparse hierarchical parallel residual networks ensemble (SHPRNE) method that leverages parallel multiscale kernels to capture complementary degradation patterns separately and embeds a hierarchical residual connection procedure to facilitate the interactivity between coarse-to-fine level features.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: September 11, 2023
2023 journal article
Systems and methods for authenticating manufacturing Machines through an unobservable fingerprinting system
Manufacturing Letters, 35, 1009–1018.
author keywords: Cybersecurity; Connected Manufacturing; Authentication; Physical Unclonable Function; Digital Twin; Vibration
Sources: Web Of Science, NC State University Libraries, Crossref, ORCID
Added: October 16, 2023
2022 journal article
Adversarial Regressive Domain Adaptation Approach for Infrared Thermography-Based Unsupervised Remaining Useful Life Prediction
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 18(10), 7219–7229.
author keywords: Feature extraction; Degradation; Task analysis; Convolutional neural networks; Optimization; Reliability; Training; Adversarial learning; deep transfer learning; infrared thermography; regressive domain adaptation (DA); remaining useful life (RUL) prediction
TL;DR:
An adversarial regressive domain adaptation (ARDA) approach is put forward to address the challenge of simultaneously aligning marginal and conditional distributions in cross-domain remaining useful life (RUL) prediction.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: September 6, 2022
2022 review
DISTRIBUTIONALLY ROBUST OPTIMIZATION: A REVIEW ON THEORY AND APPLICATIONS
[Review of ]. NUMERICAL ALGEBRA CONTROL AND OPTIMIZATION, 12(1), 159–212.
Contributors: F. Lin*, * & Z. Gao
author keywords: Distributionally robust optimization; uncertain decision-making; tractable methods; machine learning; operations research
TL;DR:
This paper starts with reviewing the modeling power and computational attractiveness of DRO approaches, induced by the ambiguity sets structure and tractable robust counterpart reformulations, and summarizes the efficient solution methods, out-of-sample performance guarantee, and convergence analysis.
(via Semantic Scholar)
www.aimsciences.org (publisher PDF)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 29, 2021
2022 journal article
Spatiotemporal denoising wavelet network for infrared thermography-based machine prognostics integrating ensemble uncertainty
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 173.
author keywords: Infrared thermography; Remaining useful life prediction; 4D wavelet convolution layer; Feature denoising; Predictive uncertainty
Sources: Web Of Science, NC State University Libraries
Added: May 31, 2022
2022 journal article
Two-dimensional variable selection and its applications in the diagnostics of product quality defects
IISE TRANSACTIONS, 54(7), 619–629.
Contributors: C. Jeong n & n
author keywords: Penalized matrix regression; two-dimensional variable selection; adaptive group LASSO; block coordinate proximal descent
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: May 24, 2021
2021 journal article
Infrared image stream based regressors for contactless machine prognostics
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 154.
author keywords: Prognostics and health management; Remaining useful life prediction; Neural network; Multiple weighted time window; Image stream based regressor
TL;DR:
Images stream based regressors consisting of a neural network and multiple weighted time window policy can predict RUL based on image stream well and MWTW policy has a significant effect on the increase of the prediction accuracy.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 8, 2021
2021 journal article
Integrated Remanufacturing and Opportunistic Maintenance Decision-Making for Leased Batch Production Lines
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 143(8).
Contributors: T. Xia *, K. Zhang *, B. Sun *, n & L. Xi *
author keywords: remanufacturing; opportunistic maintenance; product-service paradigm; batch production; saved leasing profit; plant engineering and maintenance
TL;DR:
Numerical examples based on the collected information from a leased batch production line of engine crankshaft demonstrate that this proposed R&OM policy could efficiently achieve saved leasing profit maximization, reduce joint decision complexity, and expand OM theory.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: July 19, 2021
2021 journal article
Multi-sensor prognostics modeling for applications with highly incomplete signals
IISE TRANSACTIONS, 53(5), 597–613.
Contributors: n , H. Yan *, N. Gebraeel * & K. Paynabar *
author keywords: RUL; degradation modelling; multi-stream signal fusion; missing data
TL;DR:
A prognostics methodology capable of using highly incomplete multi-stream degradation signals to predict the residual useful lifetime of partially degraded systems and two computationally efficient algorithms: subspace detection and signal recovery are proposed.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: September 7, 2020
2021 journal article
Multichannel profile-based monitoring method and its application in the basic oxygen furnace steelmaking process
JOURNAL OF MANUFACTURING SYSTEMS, 61, 375–390.
author keywords: Condition monitoring; Functional data analysis; Mahalanobis distance; Support vector data description
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 23, 2021
2021 conference paper
Multistream sensor fusion-based prognostics model for systems under multiple operational conditions
Proceedings of the ASME 2021 16th International Manufacturing Science and Engineering Conference, MSEC 2021, 2.
Contributors: X. Li n & n
TL;DR:
A prognostic framework for systems that operate under dynamic multiple operational conditions that will first extract the degradation signal from each sensor by removing the jump information resulted from the change of operational conditions, and is validated using a degradation data set of aircraft turbofan engines from NASA repository.
(via Semantic Scholar)
Source: ORCID
Added: February 24, 2022
2021 journal article
Remaining useful life prediction based on a multi-sensor data fusion model
RELIABILITY ENGINEERING & SYSTEM SAFETY, 208.
Contributors: N. Li *, N. Gebraeel *, Y. Lei *, n , X. Cai * & T. Yan *
author keywords: Prognostic degradation modeling; Remaining useful life prediction; Big data; Multi-sensor fusion; State-space model
TL;DR:
A RUL prediction method based on a multi-sensor data fusion model where the inherent degradation process of the system state is expressed using a state transition function following a Wiener process.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 22, 2021
2019 journal article
Image-Based Prognostics Using Penalized Tensor Regression
TECHNOMETRICS, 61(3), 369–384.
Contributors: n , K. Paynabar * & N. Gebraeel *
author keywords: Image streams; (Log)-location-scale distribution; Penalized tensor regression; Residual useful lifetimes
TL;DR:
A new methodology to predict and update the residual useful lifetime of a system using a sequence of degradation images that integrates tensor linear algebra with traditional location-scale regression widely used in reliability and prognostics is proposed.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: September 9, 2019
2019 journal article
Online Analytics Framework of Sensor-Driven Prognosis and Opportunistic Maintenance for Mass Customization
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 141(5).
Contributors: T. Xia *, n , N. Gebraeel *, L. Xi * & E. Pan *
author keywords: mass customization; condition monitoring; opportunistic maintenance; degradation signal; product order
TL;DR:
A systematic framework that integrates a sensor-driven prognostic method and an opportunistic maintenance policy to efficiently reduce maintenance cost, avoid system breakdown, and ensure product quality can be applied not only in an automobile line but also for a broader range of manufacturing lines in mass customization.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 15, 2019
2019 article
Penalized matrix regression for two-dimensional variable selection
ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85098348719&partnerID=MN8TOARS
Source: ORCID
Added: February 24, 2022
2019 journal article
Prognostic and health management for adaptive manufacturing systems with online sensors and flexible structures
COMPUTERS & INDUSTRIAL ENGINEERING, 133, 57–68.
Contributors: Y. Dong *, T. Xia *, n , Z. Zhang * & L. Xi *
author keywords: Prognostic and health management; Online sensor; Flexible structure; Time-to-failure; Flexible opportunistic window
TL;DR:
A Bayesian updating prognostic model using sensor-based degradation information for computing each machine’s TTFs is integrated, with an opportunistic maintenance policy handling flexible system structures for optimizing the maintenance scheduling, which enables the dynamic prognosis updating, the notable cost reduction, and the rapid decision making for adaptive manufacturing systems.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: July 15, 2019
2018 conference paper
Real-Time Predictive Analytics Using Degradation Image Data
Proceedings - Annual Reliability and Maintainability Symposium, 2018-January.
Contributors: * , K. Paynabar * & N. Gebraeel *
TL;DR:
This paper proposed a penalized (log)-location-scale regression model that can utilize high dimensional tensors to predict the residual useful lifetime of systems and a numerical algorithm with global convergence property was developed for the model estimation.
(via Semantic Scholar)
Source: ORCID
Added: February 24, 2022
2017 article
Image-based prognostics using penalized tensor regression
ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85092884816&partnerID=MN8TOARS
Source: ORCID
Added: February 24, 2022
2017 journal article
Lease-Oriented Opportunistic Maintenance for Multi-Unit Leased Systems under Product- Service Paradigm
Journal of Manufacturing Science and Engineering, Transactions of the ASME, 139(7).
Contributors: T. Xia *, L. Xi *, E. Pan *, * & N. Gebraeel *
author keywords: opportunistic maintenance; product-service paradigm; leasing profit optimization; multi-unit leased system; individual machine deterioration
Source: ORCID
Added: February 24, 2022
2017 journal article
Multistream sensor fusion-based prognostics model for systems with single failure modes
Reliability Engineering and System Safety, 159, 322–331.
Contributors: * , K. Paynabar * & N. Gebraeel *
author keywords: Degradation modeling; Functional variables selection; (log)-location-scale regression; Multivariate functional principal components analysis; Signal fusion
TL;DR:
A three-step multi-sensor prognostic methodology that utilizes multistream signals to predict residual useful lifetimes of partially degraded systems and validates using simulation study as well as a case study of aircraft turbofan engines available from NASA repository.
(via Semantic Scholar)
Source: ORCID
Added: February 24, 2022
2017 journal article
Scalable prognostic models for large-scale condition monitoring applications
IISE Transactions, 49(7), 698–710.
Contributors: * , N. Gebraeel * & K. Paynabar *
author keywords: Degradation modeling; residual useful life; functional (log)-location-scale regression; functional principal components analysis; signal fusion
TL;DR:
A scalable semi-parametric statistical framework specifically designed for synthesizing and combining multistream sensor signals using two signal fusion algorithms developed from functional principal component analysis is presented.
(via Semantic Scholar)
Source: ORCID
Added: February 24, 2022
2015 journal article
An adaptive functional regression-based prognostic model for applications with missing data
RELIABILITY ENGINEERING & SYSTEM SAFETY, 133, 266–274.
Contributors: * , R. Zhou * & N. Gebraeel *
author keywords: Condition monitoring; Prognostics; Functional principal components analysis; Functional regression analysis; Remaining useful life
TL;DR:
This paper develops a semi-parametric approach that can be used to predict the remaining lifetime of partially degraded systems and shows that the proposed approach is relatively robust to significant levels of missing data.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 7, 2018
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