Xiaolei Fang

Works (34)

Updated: January 17th, 2026 05:09

2025 article

Deep Complex Wavelet Denoising Network for Interpretable Fault Diagnosis of Industrial Robots With Noise Interference and Imbalanced Data

Li, R., Xia, T., Jiang, Y., Wu, J., Fang, X., & Gebraeel, N. (2025, January 1). IEEE Transactions on Instrumentation and Measurement, Vol. 74.

By: R. Li *, T. Xia *, Y. Jiang *, J. Wu *, X. Fang n  & N. Gebraeel *

author keywords: Wavelet transforms; Filters; Feature extraction; Industrial robots; Noise reduction; Convolution; Noise; Discrete wavelet transforms; Adaptation models; Wavelet analysis; Class-imbalanced data; complex wavelets; fault diagnosis (FD); industrial robot (IR); interpretable neural network; noise interference
topics (OpenAlex): Fault Detection and Control Systems; Anomaly Detection Techniques and Applications; Machine Fault Diagnosis Techniques
Sources: Web Of Science, NC State University Libraries
Added: June 23, 2025

2025 article

Deep Learning-Based Residual Useful Lifetime Prediction for Assets With Uncertain Failure Modes

Su, Y., & Fang, X. (2025, February 6). Journal of Computing and Information Science in Engineering, Vol. 2.

By: Y. Su n & X. Fang* 

topics (OpenAlex): Stock Market Forecasting Methods
Sources: NC State University Libraries, NC State University Libraries
Added: January 13, 2026

2025 article

Enhancing Data Privacy in Human Factors Studies with Federated Learning

Su, B., Qing, L., Lu, L., Jung, S. H., Fang, X., & Xu, X. (2025, June 6). Human Factors The Journal of the Human Factors and Ergonomics Society, Vol. 6.

By: B. Su n, L. Qing n, L. Lu  n, S. Jung n, X. Fang n  & X. Xu n 

author keywords: data privacy; federated learning; mental stress detection; human activity recognition; human factors
topics (OpenAlex): Digital Mental Health Interventions
Sources: Web Of Science, NC State University Libraries, ORCID
Added: June 6, 2025

2024 article

A distributionally robust chance-constrained kernel-free quadratic surface support vector machine

Lin, F., Fang, S.-C., Fang, X., Gao, Z., & Luo, J. (2024, February 22). European Journal of Operational Research, Vol. 316, pp. 46–60.

By: F. Lin n, S. Fang n , X. Fang n , Z. Gao * & J. Luo *

author keywords: Data science; Kernel-free support vector machine; Robust classification; Distributionally robust optimization; Chance-constrained optimization
topics (OpenAlex): Fuzzy Systems and Optimization; Advanced Statistical Methods and Models; Multi-Criteria Decision Making
Sources: Web Of Science, NC State University Libraries, ORCID
Added: May 7, 2024

2024 article

A federated data fusion-based prognostic model for applications with multi-stream incomplete signals

Arabi, M., & Fang, X. (2024, May 29). IISE Transactions, Vol. 6.

By: M. Arabi n & X. Fang n 

author keywords: Federated learning; federated data fusion; remaining useful life
topics (OpenAlex): Fault Detection and Control Systems; Advanced Statistical Process Monitoring; Imbalanced Data Classification Techniques
Sources: Web Of Science, NC State University Libraries
Added: July 17, 2024

2024 article

Distributionally robust chance-constrained kernel-based support vector machine

Lin, F., Fang, S.-C., Fang, X., & Gao, Z. (2024, July 3). Computers & Operations Research, Vol. 170.

By: F. Lin n, S. Fang n , X. Fang n  & Z. Gao *

author keywords: Uncertainty; Support vector machine; Distributionally robust optimization; Data-driven approach; ADMM
topics (OpenAlex): Face and Expression Recognition; Neural Networks and Applications; Fault Detection and Control Systems
Sources: Web Of Science, NC State University Libraries
Added: July 30, 2024

2024 article

IISE PG&E Energy Analytics Challenge 2024: Forecasting day-ahead electricity prices

Ezzat, A. A., Mansouri, M., Yildirim, M., & Fang, X. (2024, December 27). IISE Transactions, Vol. 1.

By: A. Ezzat *, M. Mansouri*, M. Yildirim * & X. Fang n 

author keywords: Forecasting; energy systems; energy analytics
topics (OpenAlex): Energy Load and Power Forecasting; Energy Efficiency and Management; Forecasting Techniques and Applications
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: February 24, 2025

2024 article

Image-based remaining useful life prediction through adaptation from simulation to experimental domain

Wang, Z., Yang, L., Fang, X., Zhang, H., & Xie, M. (2024, November 26). Reliability Engineering & System Safety, Vol. 255.

By: Z. Wang *, L. Yang*, X. Fang n , H. Zhang * & M. Xie *

author keywords: Domain adaptation; Feature disentanglement; Prognostics; Remaining useful life; Thermal image
topics (OpenAlex): Infrastructure Maintenance and Monitoring; Machine Fault Diagnosis Techniques; Anomaly Detection Techniques and Applications
Sources: Web Of Science, NC State University Libraries
Added: December 16, 2024

2024 article

Learning Undergraduate Data Science Through a Mobile Device and Full Body Movements

Jung, S. H., Wang, H., Su, B., Lu, L., Qing, L., Fang, X., & Xu, X. (2024, November 27). TechTrends, Vol. 11.

By: S. Jung n, H. Wang* , B. Su n, L. Lu n, L. Qing n, X. Fang n , X. Xu n 

author keywords: Computer vision; Context-rich data; K-means clustering; Mobile learning; Principal component analysis; Undergraduate education
topics (OpenAlex): Mobile Learning in Education; Experimental Learning in Engineering; Teaching and Learning Programming
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: December 9, 2024

2024 article

Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol

Koprov, P., Fang, X., & Starly, B. (2024, July 26). Journal of Manufacturing Systems, Vol. 76, pp. 59–74.

By: P. Koprov n , X. Fang n  & B. Starly* 

author keywords: Functional data analysis; Machine identity authentication; MQTT Security; Industrial internet of things; Smart manufacturing; Industrial cybersecurity
topics (OpenAlex): User Authentication and Security Systems; IoT and Edge/Fog Computing; Big Data and Digital Economy
Sources: Web Of Science, NC State University Libraries
Added: August 14, 2024

2024 article

Tensor-based statistical learning methods for diagnosing product quality defects in multistage manufacturing processes

Jeong, C., Byon, E., He, F., & Fang, X. (2024, July 29). IISE Transactions, Vol. 8.

By: C. Jeong *, E. Byon *, F. He * & X. Fang n 

author keywords: Quality defect/fault diagnosis; penalized tensor regression; two-dimensional variable selection
topics (OpenAlex): Tensor decomposition and applications; Probabilistic and Robust Engineering Design; Sparse and Compressive Sensing Techniques
Sources: Web Of Science, NC State University Libraries
Added: September 23, 2024

2023 article

Sparse Hierarchical Parallel Residual Networks Ensemble for Infrared Image Stream-Based Remaining Useful Life Prediction

Jiang, Y., Xia, T., Fang, X., Wang, D., & Pan, E. (2023, January 31). IEEE Transactions on Industrial Informatics, Vol. 19, pp. 10613–10623.

By: Y. Jiang *, T. Xia *, X. Fang n , D. Wang * & E. Pan *

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
topics (OpenAlex): Thermography and Photoacoustic Techniques; Industrial Vision Systems and Defect Detection; Spectroscopy and Chemometric Analyses
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.

By: P. Koprov n , S. Gadhwala n, A. Walimbe n, X. Fang n  & B. Starly* 

author keywords: Cybersecurity; Connected Manufacturing; Authentication; Physical Unclonable Function; Digital Twin; Vibration
topics (OpenAlex): Physical Unclonable Functions (PUFs) and Hardware Security; Industrial Vision Systems and Defect Detection
Sources: Web Of Science, NC State University Libraries, Crossref, ORCID
Added: October 16, 2023

2022 article

A convex two-dimensional variable selection method for the root-cause diagnostics of product defects

Zhou, C., & Fang, X. (2022, September 26). Reliability Engineering & System Safety, Vol. 1.

By: C. Zhou n & X. Fang n 

author keywords: Fault/defect diagnostics; Quality control; Penalized matrix regression; Group lasso; Sparsity; Generalized linear model
topics (OpenAlex): Industrial Vision Systems and Defect Detection; Optimal Experimental Design Methods; Fault Detection and Control Systems
Sources: Web Of Science, NC State University Libraries
Added: November 7, 2022

2022 article

Adversarial Regressive Domain Adaptation Approach for Infrared Thermography-Based Unsupervised Remaining Useful Life Prediction

Jiang, Y., Xia, T., Wang, D., & Fang, X. (2022, March 8). IEEE Transactions on Industrial Informatics, Vol. 10.

By: Y. Jiang *, T. Xia *, D. Wang * & X. Fang n 

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
topics (OpenAlex): Machine Fault Diagnosis Techniques; Non-Destructive Testing Techniques; Thermography and Photoacoustic Techniques
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 article

Spatiotemporal denoising wavelet network for infrared thermography-based machine prognostics integrating ensemble uncertainty

Jiang, Y., Xia, T., Wang, D., & Fang, X. (2022, March 12). Mechanical Systems and Signal Processing, Vol. 7.

By: Y. Jiang *, T. Xia *, D. Wang * & X. Fang n 

author keywords: Infrared thermography; Remaining useful life prediction; 4D wavelet convolution layer; Feature denoising; Predictive uncertainty
topics (OpenAlex): Thermography and Photoacoustic Techniques; Industrial Vision Systems and Defect Detection; Machine Fault Diagnosis Techniques
Sources: Web Of Science, NC State University Libraries
Added: May 31, 2022

2021 article

Distributionally Robust Optimization: A review on theory and applications

Lin, F., Fang, X., & Gao, Z. (2021, November 19). Numerical Algebra Control and Optimization, Vol. 12, pp. 159–212.

By: F. Lin*, X. Fang*  & Z. Gao

Contributors: F. Lin*, X. Fang*  & Z. Gao

author keywords: Distributionally robust optimization; uncertain decision-making; tractable methods; machine learning; operations research
topics (OpenAlex): Risk and Portfolio Optimization; Optimization and Mathematical Programming; Fuzzy Systems and Optimization
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)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 29, 2021

2021 article

Infrared image stream based regressors for contactless machine prognostics

Dong, Y., Xia, T., Wang, D., & Fang, X. (2021, January 8). Mechanical Systems and Signal Processing, Vol. 154.

By: Y. Dong*, T. Xia *, D. Wang * & X. Fang n 

Contributors: Y. Dong*, T. Xia *, D. Wang *, X. Fang n  & L. Xi *

author keywords: Prognostics and health management; Remaining useful life prediction; Neural network; Multiple weighted time window; Image stream based regressor
topics (OpenAlex): Industrial Vision Systems and Defect Detection; Machine Fault Diagnosis Techniques; Thermography and Photoacoustic Techniques
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 article

Integrated Remanufacturing and Opportunistic Maintenance Decision-Making for Leased Batch Production Lines

Xia, T., Zhang, K., Sun, B., & Fang, X. (2021, January 29). Journal of Manufacturing Science and Engineering, Vol. 143.

By: T. Xia *, K. Zhang *, B. Sun * & X. Fang n 

Contributors: T. Xia *, K. Zhang *, B. Sun *, X. Fang n  & L. Xi *

author keywords: remanufacturing; opportunistic maintenance; product-service paradigm; batch production; saved leasing profit; plant engineering and maintenance
topics (OpenAlex): Reliability and Maintenance Optimization; Sustainable Supply Chain Management; Management and Optimization Techniques
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 article

Multichannel profile-based monitoring method and its application in the basic oxygen furnace steelmaking process

Qian, Q., Fang, X., Xu, J., & Li, M. (2021, October 1). Journal of Manufacturing Systems, Vol. 61, pp. 375–390.

By: Q. Qian*, X. Fang n , J. Xu* & M. Li *

Contributors: Q. Qian*, X. Fang n , J. Xu* & M. Li *

author keywords: Condition monitoring; Functional data analysis; Mahalanobis distance; Support vector data description
topics (OpenAlex): Fault Detection and Control Systems; Anomaly Detection Techniques and Applications; Mineral Processing and Grinding
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 23, 2021

2021 article

Multistream Sensor Fusion-Based Prognostics Model for Systems Under Multiple Operational Conditions

Li, X., & Fang, X. (2021, June 21). Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, Vol. 2.

By: X. Li  n & X. Fang n 

Contributors: X. Li  n & X. Fang n 

topics (OpenAlex): Fault Detection and Control Systems; Quality and Safety in Healthcare; Reliability and Maintenance Optimization
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 article

Two-dimensional variable selection and its applications in the diagnostics of product quality defects

Jeong, C., & Fang, X. (2021, March 18). IISE Transactions.

By: C. Jeong  n & X. Fang n 

Contributors: C. Jeong  n & X. Fang n 

author keywords: Penalized matrix regression; two-dimensional variable selection; adaptive group LASSO; block coordinate proximal descent
topics (OpenAlex): Face and Expression Recognition; Industrial Vision Systems and Defect Detection; Advanced Statistical Methods and Models
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: May 24, 2021

2020 article

Multi-sensor prognostics modeling for applications with highly incomplete signals

Fang, X., Yan, H., Gebraeel, N., & Paynabar, K. (2020, July 1). IISE Transactions, Vol. 53, pp. 597–613.

By: X. Fang n , H. Yan *, N. Gebraeel * & K. Paynabar *

Contributors: X. Fang n , H. Yan *, N. Gebraeel * & K. Paynabar *

author keywords: RUL; degradation modelling; multi-stream signal fusion; missing data
topics (OpenAlex): Reliability and Maintenance Optimization; Fault Detection and Control Systems; Advanced Statistical Process Monitoring
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

2020 article

Remaining useful life prediction based on a multi-sensor data fusion model

Li, N., Gebraeel, N., Lei, Y., Fang, X., Cai, X., & Yan, T. (2020, October 24). Reliability Engineering & System Safety, Vol. 208.

By: N. Li *, N. Gebraeel *, Y. Lei *, X. Fang n , X. Cai * & T. Yan *

Contributors: N. Li *, N. Gebraeel *, Y. Lei *, X. Fang n , X. Cai * & T. Yan *

author keywords: Prognostic degradation modeling; Remaining useful life prediction; Big data; Multi-sensor fusion; State-space model
topics (OpenAlex): Reliability and Maintenance Optimization; Fault Detection and Control Systems; Risk and Safety Analysis
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 article

Online Analytics Framework of Sensor-Driven Prognosis and Opportunistic Maintenance for Mass Customization

Xia, T., Fang, X., Gebraeel, N., & Pan, E. (2019, March 20). Journal of Manufacturing Science and Engineering, Vol. 141.

By: T. Xia *, X. Fang n , N. Gebraeel * & E. Pan *

Contributors: T. Xia *, X. Fang n , N. Gebraeel *, L. Xi * & E. Pan *

author keywords: mass customization; condition monitoring; opportunistic maintenance; degradation signal; product order
topics (OpenAlex): Manufacturing Process and Optimization; Product Development and Customization; Flexible and Reconfigurable Manufacturing Systems
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

By: C. Jeong & X. Fang 

Contributors: C. Jeong & X. Fang 

www.scopus.com
Source: ORCID
Added: February 24, 2022

2019 article

Prognostic and health management for adaptive manufacturing systems with online sensors and flexible structures

Dong, Y., Xia, T., Fang, X., & Zhang, Z. (2019, April 30). Computers & Industrial Engineering, Vol. 133, pp. 57–68.

By: Y. Dong*, T. Xia *, X. Fang n  & Z. Zhang *

Contributors: Y. Dong*, T. Xia *, X. Fang n , Z. Zhang * & L. Xi *

author keywords: Prognostic and health management; Online sensor; Flexible structure; Time-to-failure; Flexible opportunistic window
topics (OpenAlex): Reliability and Maintenance Optimization; Quality and Safety in Healthcare; Advanced Statistical Process Monitoring
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 article

Image-Based Prognostics Using Penalized Tensor Regression

Fang, X., Paynabar, K., & Gebraeel, N. (2018, November 26). Technometrics, Vol. 61, pp. 369–384.

By: X. Fang n , K. Paynabar * & N. Gebraeel *

Contributors: X. Fang n , K. Paynabar * & N. Gebraeel *

author keywords: Image streams; (Log)-location-scale distribution; Penalized tensor regression; Residual useful lifetimes
topics (OpenAlex): Machine Fault Diagnosis Techniques; Tensor decomposition and applications; Advanced Battery Technologies Research
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

2018 article

Real-Time Predictive Analytics Using Degradation Image Data

Fang, X., Paynabar, K., & Gebraeel, N. (2018, January 1). Proceedings - Annual Reliability and Maintainability Symposium.

By: X. Fang* , K. Paynabar * & N. Gebraeel *

Contributors: X. Fang* , K. Paynabar * & N. Gebraeel *

topics (OpenAlex): Sparse and Compressive Sensing Techniques; Medical Image Segmentation Techniques; Advanced Neural Network Applications
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

By: X. Fang , K. Paynabar & N. Gebraeel

Contributors: X. Fang , K. Paynabar & N. Gebraeel

www.scopus.com
Source: ORCID
Added: February 24, 2022

2017 article

Lease-Oriented Opportunistic Maintenance for Multi-Unit Leased Systems Under Product-Service Paradigm

Xia, T., Pan, E., Fang, X., & Gebraeel, N. (2017, February 13). Journal of Manufacturing Science and Engineering, Vol. 139.

By: T. Xia *, E. Pan *, X. Fang*  & N. Gebraeel *

Contributors: T. Xia *, L. Xi *, E. Pan *, X. Fang*  & N. Gebraeel *

author keywords: opportunistic maintenance; product-service paradigm; leasing profit optimization; multi-unit leased system; individual machine deterioration
topics (OpenAlex): Reliability and Maintenance Optimization; Life Cycle Costing Analysis; Quality and Safety in Healthcare
Source: ORCID
Added: February 24, 2022

2016 article

Multistream sensor fusion-based prognostics model for systems with single failure modes

Fang, X., Paynabar, K., & Gebraeel, N. (2016, November 23). Reliability Engineering & System Safety, Vol. 159, pp. 322–331.

By: X. Fang* , K. Paynabar * & N. Gebraeel *

Contributors: X. Fang* , K. Paynabar * & N. Gebraeel *

author keywords: Degradation modeling; Functional variables selection; (log)-location-scale regression; Multivariate functional principal components analysis; Signal fusion
topics (OpenAlex): Fault Detection and Control Systems; Reliability and Maintenance Optimization; Advanced Statistical Process Monitoring
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

2016 article

Scalable prognostic models for large-scale condition monitoring applications

Fang, X., Gebraeel, N. Z., & Paynabar, K. (2016, December 1). IISE Transactions, Vol. 49, pp. 698–710.

By: X. Fang* , N. Gebraeel * & K. Paynabar *

Contributors: X. Fang* , N. Gebraeel * & K. Paynabar *

author keywords: Degradation modeling; residual useful life; functional (log)-location-scale regression; functional principal components analysis; signal fusion
topics (OpenAlex): Fault Detection and Control Systems; Reliability and Maintenance Optimization; Non-Destructive Testing Techniques
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

2014 article

An adaptive functional regression-based prognostic model for applications with missing data

Fang, X., Zhou, R., & Gebraeel, N. (2014, September 16). Reliability Engineering & System Safety, Vol. 133, pp. 266–274.

By: X. Fang* , R. Zhou* & N. Gebraeel *

Contributors: X. Fang* , R. Zhou* & N. Gebraeel *

author keywords: Condition monitoring; Prognostics; Functional principal components analysis; Functional regression analysis; Remaining useful life
topics (OpenAlex): Reliability and Maintenance Optimization; Statistical Distribution Estimation and Applications; Power System Reliability and Maintenance
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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