Predictive Maintenance Algorithm Development
Budget: $10,000 – $20,000 USD
I need an expert to develop embedded algorithms for our OWLY predictive maintenance platform. The platform uses fused vibration and acoustic sensing to detect early equipment faults in home appliances, specifically washing machines, dryers, and refrigerators.
Key Requirements:
- Convert sensor data into actionable equipment health diagnostics.
- Focus on early fault detection for motors, bearings, and gearboxes.
Ideal Skills and Experience:
- Strong background in embedded systems and algorithm development.
- Expertise in signal processing and sensor data analysis.
- Experience with home appliance maintenance or diagnostics.
- Familiarity with machine learning techniques is a plus.
Key Requirements:
- Convert sensor data into actionable equipment health diagnostics.
- Focus on early fault detection for motors, bearings, and gearboxes.
Ideal Skills and Experience:
- Strong background in embedded systems and algorithm development.
- Expertise in signal processing and sensor data analysis.
- Experience with home appliance maintenance or diagnostics.
- Familiarity with machine learning techniques is a plus.