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A Hierarchical Framework for Smart Grid Anomaly Detection Using Large-Scale Smart Meter Data

IEEE transactions on smart grid, 2018-11, Vol.9 (6), p.5820-5830

2018

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A deep reinforcement learning approach for real-time sensor-driven decision making and predictive analytics

Computers & industrial engineering, 2020-09, Vol.147, p.106600, Article 106600

2020

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Enhancing anomaly detection with adaptive node inspection in large-scale networks with binary sensors

Computers & industrial engineering, 2024-03, Vol.189, p.109928, Article 109928

2024

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An anomaly detection framework for dynamic systems using a Bayesian hierarchical framework

Applied energy, 2019-04, Vol.240 (C), p.561-582

2019

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Resource optimization and image processing for vegetation management programs in power distribution networks

Applied energy, 2022-08, Vol.319, p.119234, Article 119234

2022

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A scalable Bayesian framework for large-scale sensor-driven network anomaly detection

IIE transactions, 2023-05, Vol.55 (5), p.445-462

2023

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Anomaly detection in large-scale networks: A state-space decision process

Journal of quality technology, 2021-12, Vol.54 (1), p.65-92

2021

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Optimal Frameworks for Detecting Anomalies in Sensor-Intensive Heterogeneous Networks

INFORMS journal on computing, 2022-09, Vol.34 (5), p.2583-2610

2022

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State-space modeling for degrading systems with stochastic neural networks and dynamic Bayesian layers

IIE transactions, 2024-05, Vol.ahead-of-print (ahead-of-print), p.1-18

2024

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A Double Hybrid State-Space Model for Real-Time Sensor-Driven Monitoring of Deteriorating Systems

IEEE transactions on automation science and engineering, 2020-01, Vol.17 (1), p.72-87

2020

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An integrated framework for online diagnostic and prognostic health monitoring using a multistate deterioration process

Reliability engineering & system safety, 2014-04, Vol.124, p.92-104

2014

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Two-stage discrete-continuous multi-objective load optimization: An industrial consumer utility approach to demand response

Applied energy, 2017-11, Vol.206, p.206-221

2017

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Joint optimization of ordering and maintenance with condition monitoring data

Annals of operations research, 2018-04, Vol.263 (1-2), p.271-310

2018

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Smart Control of Fleets of Electric Vehicles in Smart and Connected Communities

IEEE transactions on smart grid, 2019-11, Vol.10 (6), p.6883-6897

2019

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THE LATENT STATE HAZARD MODEL, WITH APPLICATION TO WIND TURBINE RELIABILITY

The annals of applied statistics, 2015-12, Vol.9 (4), p.1823-1863

2015

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A physics-regularized data-driven approach for health prognostics of complex engineered systems with dependent health states

Reliability engineering & system safety, 2022-10, Vol.226, p.108677, Article 108677

2022

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A Generative Reinforcement Learning Framework for Predictive Analytics

2023 Annual Reliability and Maintainability Symposium (RAMS), 2023, p.1-7

2023

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A Hybrid State Particle Filter for Failure Prognosis in Deteriorating Systems

2018 Annual Reliability and Maintainability Symposium (RAMS), 2018, p.1-6

2018

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A parameter estimation method for a condition-monitored device under multi-state deterioration

Reliability engineering & system safety, 2012-10, Vol.106, p.94-103

2012

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Selective maintenance for binary systems under imperfect repair

Reliability engineering & system safety, 2013-05, Vol.113, p.42-51

2013

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Selective maintenance scheduling over a finite planning horizon

Proceedings of the Institution of Mechanical Engineers. Part O, Journal of risk and reliability, 2016-04, Vol.230 (2), p.162-177

2016

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Editorial to the special issue: statistical perspectives on analytics for COVID-19 data

Journal of applied statistics, 2023-09, Vol.50 (11-12), p.2287-2293

2023

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Optimal design and maintenance of a repairable multi-state system with standby components

Journal of statistical planning and inference, 2012-08, Vol.142 (8), p.2409-2420

2012

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Reliability and Availability Analysis of a Repairable k-out-of- n:G System With R Repairmen Subject to Shut-Off Rules

IEEE transactions on reliability, 2011-09, Vol.60 (3), p.658-666

2011

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Availability of a general k-out-of-n:G system with non-identical components considering shut-off rules using quasi-birth–death process

Reliability engineering & system safety, 2011-04, Vol.96 (4), p.489-496

2011

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A Hierarchical Framework for Smart Grid Anomaly Detection Using Large-Scale Smart Meter Data

A deep reinforcement learning approach for real-time sensor-driven decision making and predictive analytics

Enhancing anomaly detection with adaptive node inspection in large-scale networks with binary sensors

An anomaly detection framework for dynamic systems using a Bayesian hierarchical framework

Resource optimization and image processing for vegetation management programs in power distribution networks

A scalable Bayesian framework for large-scale sensor-driven network anomaly detection

Anomaly detection in large-scale networks: A state-space decision process

Optimal Frameworks for Detecting Anomalies in Sensor-Intensive Heterogeneous Networks

State-space modeling for degrading systems with stochastic neural networks and dynamic Bayesian layers

A Double Hybrid State-Space Model for Real-Time Sensor-Driven Monitoring of Deteriorating Systems

An integrated framework for online diagnostic and prognostic health monitoring using a multistate deterioration process

Two-stage discrete-continuous multi-objective load optimization: An industrial consumer utility approach to demand response

Joint optimization of ordering and maintenance with condition monitoring data

Smart Control of Fleets of Electric Vehicles in Smart and Connected Communities

THE LATENT STATE HAZARD MODEL, WITH APPLICATION TO WIND TURBINE RELIABILITY

A physics-regularized data-driven approach for health prognostics of complex engineered systems with dependent health states

A Generative Reinforcement Learning Framework for Predictive Analytics

A Hybrid State Particle Filter for Failure Prognosis in Deteriorating Systems

A parameter estimation method for a condition-monitored device under multi-state deterioration

Selective maintenance for binary systems under imperfect repair

Selective maintenance scheduling over a finite planning horizon

Editorial to the special issue: statistical perspectives on analytics for COVID-19 data

Optimal design and maintenance of a repairable multi-state system with standby components

Reliability and Availability Analysis of a Repairable k-out-of- n:G System With R Repairmen Subject to Shut-Off Rules

Availability of a general k-out-of-n:G system with non-identical components considering shut-off rules using quasi-birth–death process

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