A. Saxena

发表

Modeling and Control of SMT Manufacturing Lines Using Hybrid Dynamic Systems

Magnus Egerstedt, Edward W. Kamen, Abhinav Saxena, 2003, HSCC.

Prognostics of Power Mosfets Under Thermal Stress Accelerated Aging Using Data-Driven and Model-Based Methodologies

J. Celaya, K. Goebel, A. Saxena, 2011 .

A Model-Based Prognostics Framework to Predict Fatigue Damage Evolution and Reliability in Composites

K. Goebel, A. Saxena, J. Chiachío, 2014 .

Probabilistic delamination diagnosis of composite materials using a novel Bayesian imaging method

Y. Xiang, Yongming Liu, K. Goebel, 2013 .

Designing Data-Driven Battery Prognostic Approaches for Variable Loading Profiles : Some Lessons Learned

B. Saha, J. Celaya, K. Goebel, 2012 .

An efficient simulation framework for prognostics of asymptotic processes-a case study in composite materials

K. Goebel, A. Saxena, J. Chiachío, 2014 .

Comparison of Two Probabilistic Fatigue Damage Assessment Approaches Using Prognostic Performance Metrics

Xuefei Guan, Yongming Liu, Ratneshwar Jha, 2011, International Journal of Prognostics and Health Management.

In-situ fatigue life prognosis for composite laminates based on stiffness degradation

Yongming Liu, K. Goebel, A. Saxena, 2015 .

Bayesian model selection and parameter estimation for fatigue damage progression models in composites

K. Goebel, A. Saxena, J. Chiachío, 2015 .

A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using Lamb waves

J. Celaya, Yongming Liu, K. Goebel, 2013 .

Finite element simulation of Lamb wave propagation in damaged composite laminates and experimental validation

Y. Xiang, Yongming Liu, K. Goebel, 2014 .

Towards Prognostics of Power MOSFETs: Accelerated Aging and Precursors of Failure

J. Celaya, P. Wysocki, K. Goebel, 2010 .

Model-Based Fatigue Prognosis of Fiber-Reinforced Laminates Exhibiting Concurrent Damage Mechanisms

Kai Goebel, Matteo Corbetta, Claudio Sbarufatti, 2016 .

Uncertainty Representation and Interpretation in Model-Based Prognostics Algorithms Based on Kalman Filter Estimation

J. Celaya, K. Goebel, A. Saxena, 2012 .

An energy-based prognostic framework to predict fatigue damage evolution in composites

Juan Chiachio, Kai Goebel, Abhinav Saxena, 2013 .

Accelerated Aging Experiments for Prognostics of Damage Growth in Composite Materials

Cecilia C. Larrosa, Kai Goebel, Abhinav Saxena, 2011 .

A novel Bayesian imaging method for probabilistic delamination detection of composite materials

Kai Goebel, Abhinav Saxena, Yibing Xiang, 2013 .

Fault Detection and Isolation for Autonomous Parafoils

Chetan S. Kulkarni, J. Celaya, K. Goebel, 2013 .

Polarization induced dielectric and electrical response of electrovector hydroxyapatite and ferroelectric sodium potassium niobate ceramics

A. Saxena, K. Kakimoto, A. Dubey, 2020, Journal of Physics D: Applied Physics.

Induced Electroactive Response of Hydroxyapatite: A Review

A. Saxena, A. Dubey, M. Pandey, 2019, Journal of the Indian Institute of Science.

Improved functional response of spark plasma sintered hydroxyapatite based functionally graded materials: An impedance spectroscopy perspective

A. Saxena, A. Dubey, B. Singh, 2019, Ceramics International.

United States Patent Chakravarty

G. Vachtsevanos, K. Pattipati, C. Sankavaram, 2017 .

Coupling of living cells with external electrical stimulation: a computational study

A. Saxena, A. Dubey, 2018, Journal of Physics D: Applied Physics.

An energy-based prognost ic f ramew ork to predict evolut ion of damage in composite materials 16

K. Goebel, A. Saxena, J. Chiachío, 2016 .

Evaluation of Multiple Damage-Mode Models for Prognostics of Carbon Fiber-reinforced Polymers

M. Giglio, K. Goebel, A. Saxena, 2015 .

A robust controlling and management of load with minimum frequency and voltage deviation in network employing genetic algorithm

Arun Sharma, A. Saxena, Mohd Majid, 2022, Journal of Statistics and Management Systems.

Mixed Initiative Approach for Reliable Tagging of Maintenance Records with Machine Learning

Nurali Virani, A. Saxena, N. Iyer, 2022, Annual Conference of the PHM Society.

Prognostics Design for Structural Health Management

Juan Chiachio, Manuel Chiachio, Kai Goebel, 2015 .

Call for Papers on Wind turbine prognostics and health management

David He, Eric Bechhoefer, Abhinav Saxena, 2013 .

Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems

Ashraf Saad, Abhinav Saxena, A. Saxena, 2007, Appl. Soft Comput..

Genetic Algorithms for Artificial Neural Net-based Condition Monitoring System Design for Rotating Mechanical Systems

Ashraf Saad, Abhinav Saxena, A. Saxena, 2004, WSC.

An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries

Bhaskar Saha, Jie Liu, Kai Goebel, 2010 .

A novel blind deconvolution de-noising scheme in failure prognosis

George Vachtsevanos, Abhinav Saxena, Marcos Orchard, 2010 .

Application of Blind Deconvolution Denoising in Failure Prognosis

Bin Zhang, George J. Vachtsevanos, Marcos E. Orchard, 2009, IEEE Transactions on Instrumentation and Measurement.

Use of blind deconvolution de-noising scheme in failure prognosis

G. Vachtsevanos, B. Zhang, T. Khawaja, 2007, 2007 IEEE Autotestcon.

A Bayesian framework for fatigue life prediction of composite laminates under co-existing matrix cracks and delamination

Kai Goebel, Matteo Corbetta, Claudio Sbarufatti, 2018 .

Tribological behaviour of hot extruded Al–Cu–Mg–Ag alloy reinforced by TiB2 particles

Rajveer, A. Saxena, H. Kotadia, 2019, Materials Science and Technology.

Integrated experimental and numerical investigation for fatigue damage diagnosis in composite plates

Kai Goebel, Abhinav Saxena, Yibing Xiang, 2014 .

Recent advances in materials science: a reinforced approach toward challenges against COVID-19

A. Saxena, D. Khare, Angaraj Singh, 2021, Emergent Materials.

Modeling, Detection, and Disambiguation of Sensor Faults for Aerospace Applications

E. Balaban, A. Saxena, P. Bansal, 2009, IEEE Sensors Journal.

Metrics for Offline Evaluation of Prognostic Performance

Sankalita Saha, Abhinav Saxena, Kai Goebel, 2021, International Journal of Prognostics and Health Management.

Prognostics Enhanced Reconfigurable Control of Electro-Mechanical Actuators

George Vachtsevanos, Kai Goebel, Abhinav Saxena, 2009 .

Entropy-based probabilistic fatigue damage prognosis and algorithmic performance comparison

Xuefei Guan, Abhinav Saxena, Kai Goebel, 2009 .

An Invasive Weed Optimization for Sensor Less Control of Grid Integrated Wind Driven Doubly Fed Induction Generator

J. P. Pandey, A. Saxena, R. Kumar, 2022, IEEE Access.

An investigation of strain energy release rate models for real-time prognosis of fiber-reinforced laminates

Kai Goebel, Matteo Corbetta, Abhinav Saxena, 2017 .

Probabilistic fatigue damage prognosis of lap joint using Bayesian updating

Kai Goebel, Abhinav Saxena, Yongming Liu, 2015 .

Integrated fatigue damage diagnosis and prognosis under uncertainties

Jingjing He, Kai Goebel, Abhinav Saxena, 2012, Annual Conference of the PHM Society.

Condition-based prediction of time-dependent reliability in composites

Juan Chiachio, Manuel Chiachio, Kai Goebel, 2015, Reliab. Eng. Syst. Saf..

Prognostics in Battery Health Management

K. Goebel, J. Christophersen, B. Saha, 2008, IEEE Instrumentation & Measurement Magazine.

A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes

Xi Zhang, Kaibo Liu, Abhinav Saxena, 2018 .

Abnormal Health Monitoring and Assessment of a Three-Phase Induction Motor Using a Supervised CNN-RNN-Based Machine Learning Algorithm

A. Saxena, R. Kumar, S. Devakirubakaran, 2023, Mathematical Problems in Engineering.

Performance Benchmarking and Analysis of Prognostic Methods for CMAPSS Datasets

Abhinav Saxena, Emmanuel Ramasso, A. Saxena, 2020, International Journal of Prognostics and Health Management.

Requirements Specification for Prognostics Performance - An Overview

Sankalita Saha, Kai Goebel, Bhaskar Saha, 2010 .

Automated Contingency Management for Propulsion Systems

Bin Zhang, George Vachtsevanos, Yorai Wardi, 2007, 2007 European Control Conference (ECC).

Requirements Specifications for Prognostics: An Overview

Sankalita Saha, Abhinav Saxena, Kai Goebel, 2010 .

A Reasoning Architecture for Expert Troubleshooting of Complex Processes

Bhaskar Saha, George Vachtsevanos, Abhinav Saxena, 2012 .

Optimal intelligent strategic LMP Solution and Effect of DG in Deregulated System for Congestion Management

Anwar Shahzad Siddiqui, Abhinav Saxena, Prashant, 2021, International Transactions on Electrical Energy Systems.

Requirements Flowdown for Prognostics and Health Management

Bhaskar Saha, Sankalita Saha, Kai Goebel, 2012, Infotech@Aerospace.

Evaluating the Impact of Deploying Unrestricted Unmanned Aircraft Systems in the National Airspace

Abhinav Saxena, Greg Pisanich, Duc Tran, 2012, Infotech@Aerospace.

On Applying the Prognostic Performance Metrics

Sankalita Saha, Abhinav Saxena, Kai Goebel, 2009 .

Defending Wireless Sensor Networks against Adversarial Localization

Sriram Chellappan, Neelanjana Dutta, Abhinav Saxena, 2010, 2010 Eleventh International Conference on Mobile Data Management.

A diagnostic approach for electro-mechanical actuators in aerospace systems

Abhinav Saxena, Edward Balaban, Simon Curran, 2009, 2009 IEEE Aerospace conference.

Fatigue damage diagnosis and prognosis using bayesian updating

Jingjing He, Kai Goebel, Abhinav Saxena, 2013 .

Metrics for evaluating performance of prognostic techniques

K. Goebel, B. Saha, E. Balaban, 2008, 2008 International Conference on Prognostics and Health Management.

Damage propagation modeling for aircraft engine run-to-failure simulation

Abhinav Saxena, Kai Goebel, Don Simon, 2008, 2008 International Conference on Prognostics and Health Management.

Damage Propagation Modeling for Aircraft Engine Prognostics

Kai Goebel, Abhinav Saxena, Don Simon, 2008 .

Analytical algorithms to quantify the uncertainty in remaining useful life prediction

K. Goebel, S. Sankararaman, M. Daigle, 2013, 2013 IEEE Aerospace Conference.

A novel Bayesian imaging method for probabilistic delamination detection of composite materials

Kai Goebel, Abhinav Saxena, Yibing Xiang, 2013 .

An approach to fault diagnosis of helicopter planetary gears

Abhinav Saxena, G. Vachtsevanos, R. Patrick, 2004, Proceedings AUTOTESTCON 2004..

Rolling element bearing feature extraction and anomaly detection based on vibration monitoring

Bin Zhang, G. Georgoulas, A. Saxena, 2008, 2008 16th Mediterranean Conference on Control and Automation.

An energy-based prognostic framework to predict evolution of damage in composite materials

Juan Chiachio, Manuel Chiachio, Kai Goebel, 2016 .

- 1-A COMPARISON OF THREE DATA-DRIVEN TECHNIQUES FOR PROGNOSTICS

Abhinav Saxena, Kai Goebel, Bhaskar Saha, 2008 .

Design of LQR-based FLC for the Optimal Regenerative Braking Controlling of Solar PV-based Electric Vehicle System

A. Saxena, A. K. Dash, Prashant, 2023, IETE Journal of Research.

Prognostic Health-Management System Development for Electromechanical Actuators

Carl Ott, Kai Goebel, Abhinav Saxena, 2015, J. Aerosp. Inf. Syst..

Experimental Validation of a Prognostic Health Management System for Electro-Mechanical Actuators

Abhinav Saxena, Kai Goebel, Edward Balaban, 2011 .

Combining Model-Based and Feature-Driven Diagnosis Approaches - A Case Study on Electromechanical Actuators

Sriram Narasimhan, Abhinav Saxena, Indranil Roychoudhury, 2010 .

Evaluating Vector Representations of Short Text Data for Automating Recommendations of Maintenance Cases

A. Saxena, Varish Mulwad, K. Aggour, 2022, Annual Conference of the PHM Society.