Advancing Industrial AI Solutions with Acoustic Analysis: Challenges and Strategies

Exploring the potential of using acoustic analysis in engineering, particularly in the automotive sector, for enhancing machine condition monitoring and test data analysis. The chapter emphasizes the role of machine learning in automating processes like brake squeal detection and underlines key considerations such as business value, user interaction, and data sources. It also discusses the iterative deployment strategy and the importance of data-centric approaches in industrial AI applications.