Degree
Master of Engineering Science
Program
Biomedical Engineering
Supervisor
Briens, Lauren
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.
Recommended Citation
Carter, Allan, "Process Analytics from Passive Acoustic Emissions Monitoring during Fluidized Bed Pellet Coating in Pharmaceutical Manufacturing" (2018). Electronic Thesis and Dissertation Repository. 5457.
https://ir.lib.uwo.ca/etd/5457
Included in
Biomedical Engineering and Bioengineering Commons, Pharmacy and Pharmaceutical Sciences Commons, Process Control and Systems Commons