Narayan Kovvali

A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions

Rolling element bearing fault diagnostics: Development of health index

Prognosis of Gear Failures in DC Starter Motors Using Hidden Markov Models

Vibration-based damage detection for a population of nominally identical structures: Unsupervised Multiple Model (MM) statistical time series type methods

Wireless sensor networks for structure health monitoring: recent advances and future research directions

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

Big Data-Driven Manufacturing—Process-Monitoring-for-Quality Philosophy

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways

A Bayesian recursive framework for ball-bearing damage classification in rotating machinery

Structural damage detection with insufficient data using transfer learning techniques

An adaptive learning damage estimation method for structural health monitoring

A novel probabilistic approach for damage localization and prognosis including temperature compensation

Damage Classification for Structural Health Monitoring Using Time-Frequency Feature Extraction and Continuous Hidden Markov Models

Damage Classification Structural Health Monitoring in Bolted Structures Using Time-frequency Techniques

On the Use of Hidden Markov Modeling and Time-frequency Features for Damage Classification in Composite Structures