Process Analytics from Passive Acoustic Emissions Monitoring during Fluidized Bed Pellet Coating in Pharmaceutical Manufacturing
Abstract
Piezoelectric microphones were attached to a top spray fluidized bed to provide valuable process signatures. Relationships were developed between sound waves and conditions within the fluidized bed to relay critical quality and performance information. Deep learning analytics were used to extract valuable information from experimental data. Advancements in passive acoustic emissions monitoring will play a key role in optimizing pharmaceutical manufacturing pathways to ensure drug quality and performance.
This item has been relocated to Western University’s Open Repository