Inverter Fault Detection & Monitoring System using sparse signal processing

I'm seeking an expert in sparse signal processing to assist in the development of a fault detection solution for an inverter. The specific requirements and goals of this project are as follows:

- **Purpose**: Our primary goal is to identify and resolve minor faults in the inverter's switches. This is essential to enhance efficiency, performance, and prolong the lifespan of the inverter.
- **Data Collection**: The system should be designed to continuously monitor voltage and current levels of the inverter in real-time to identify potential switch faults.
- **Sparse Signal Processing**: You should have a thorough understanding and hands-on experience with sparse signal processing approaches. This will be crucial in analyzing the collected data and providing insights into potential faults.
- **Fault Reporting**: The final system should be capable of not only detecting the switch's minor fault but also reporting it effectively for timely intervention.

Ideal Skills and Experience:**
- Strong background in Matlab programming and script development.
- Proven experience in image processing projects, preferably with a focus on fault analysis.
- Excellent problem-solving skills to address any challenges that may arise during the analysis.

Your expertise in this area will be instrumental in ensuring the reliability and longevity of our inverter system. Experience in the power electronics or renewable energy sector will be a plus. If you have experience with similar projects, please be sure to highlight this in your proposal.