As the fundamental and key technique to ensure the safe and reliable operation of vital
systems, prognostics with an emphasis on the remaining useful life (RUL) prediction has …

Recent developments in maintenance modelling fueled by data-based approaches such as
machine learning (ML), have enabled a broad range of applications. In the automotive …

In multi-component systems, degradation, maintenance, renewal and operational mode
change continuously the operating conditions. The identification of the onset of abnormal …

Intelligent fault diagnosis methods can obtain promising results in ensuring the safety and
reliability of key parts of rotating machinery. However, the problems are the insufficient …

This paper addresses the critical issue of reducing the downtime of vehicles by using
machine learning (ML) techniques and full life cycle data. The study tests the failure …

As the fundamental and key technique to ensure the safe and reliable operation of vital
systems, prognostics with an emphasis on the remaining useful life (RUL) prediction has …

Feature selection and classification are widely used in fault diagnosis. In fault severity
diagnosis, different fault severity can be expressed as normal, slight, moderate and severe …

This paper introduces a data-driven framework for combustor-focused, performance-based
condition monitoring of gas turbines. Commercial condition monitoring systems typically …

Kamran Paynabar Page 1 Kamran Paynabar Table of Contents I. EARNED DEGREES 1 II.
EMPLOYMENT HISTORY 1 III. HONORS AND AWARDS 1 IV. RESEARCH, SCHOLARSHIP, AND …