Contact Dr Joni Pelham
- Tel: +44 (0) 1234 754359
- Email: j.g.pelham@cranfield.ac.uk
- Twitter: @jonititan
- ORCID
Areas of expertise
- Air Transport Safety & Investigation
- Aircraft Design
- Airworthiness
- Autonomous Systems
- Through-life Engineering Services
Background
An aerospace systems research engineer specializing in unmanned systems. Using and creating custom software solutions to understand the flight data of aircraft, to characterize their operations, and to predict changes to their health.
Current activities
Flight Operations Quality Assurance
Remotely Piloted Aircraft Systems flight safety
Integrated Vehicle Health Management for RPAS
Artificial Immune Systems for flight safety
Analysis of VHUMS for improved diagnostics and prognostics
Analysis of maintenance data to understand the No Fault Found phenomenon
Publications
Articles In Journals
- Ricketts J, Barry D, Guo W & Pelham J. (2023). A Scoping Literature Review of Natural Language Processing Application to Safety Occurrence Reports. Safety, 9(2)
- Mokhtari N, Pelham JG, Nowoisky S, Bote-Garcia J-L & Gühmann C. (2020). Friction and Wear Monitoring Methods for Journal Bearings of Geared Turbofans Based on Acoustic Emission Signals and Machine Learning. Lubricants, 8(3)
Conference Papers
- Ricketts J, Pelham J, Barry D & Guo W. (2022). An NLP framework for extracting causes, consequences, and hazards from occurrence reports to validate a HAZOP study
- Nowoisky S, Grzeszkowski M, Guhmann C & Pelham JG. (2019). Monitoring concept study for aerospace power gear box drive train
- Pelham JG & Hockley C. (2017). Analysis of Short form Maintenance Records for NFF Using NLP, Phrase Matching, and Bayesian Learning
- Pelham JG, Fan I-S, Jennions I & McFeat J. (2015). Application of an AIS to the problem of through life health management of remotely piloted aircraft
- Pelham JG, Fan I-S, Jennions I & McFeat J. (2013). Dual Use IVHM for UAS Health Management