Predictive Maintenance Observation for Solid-State Devices Used in Aircraft

This project aims to develop a basic predictive maintenance model for aviation sensors, especially the ones that are directly related to flight safety. The study first uses SCAPS-1D to simulate a simple semiconductor structure and observe how electrical parameters such as Voc and Jsc change with temperature and material conditions. After getting these results, a simple state-space model is built in MATLAB to represent the relation between temperature input and device output. The idea is that many aircraft sensors, like the Angle of Attack (AOA) sensor, also contain small pn junction electronics inside, and their failures often begin with small drifts in electrical behavior. By comparing the SCAPS results with the state-space model, the project shows how these changes can be used as early indicators of degradation. This work gives a starting framework for future predictive maintenance studies by connecting semiconductor modeling with aviation sensor health monitoring.