Wärtsilä and Emblica partnered together to explore the use of audio data for enhancing predictive maintenance. By analyzing sound patterns from engines, the teams aimed to detect early signs of malfunction, reduce downtime, and boost operational efficiency. Emblica’s expertise in audio data analytics played a key role in turning pilot data into functional solutions, supported by close collaboration and shared knowledge between both teams.

This project not only improves maintenance strategies but also contributes to Wärtsilä’s broader energy transition goals through smarter, data-driven operations.

Read the full article: Innovative Audio Data Analysis: Enhancing Predictive Maintenance through Wärtsilä-Emblica Collaboration