I’m a lithium battery failure analysis specialist, i have been involving in battery abnormality analysis for nearly a decade, generally we have many kind of analysis method like non destruction and destruction . For both type of analysis method we generally use traditional tools to study and understand the behavior of defect cell. This traditional method always take longer time understand the real root cause of the issue. Therefore since the rise of AI, i came to understand we could use AI to support our analysis process to shorten the lead time, increase the result outcome accuracy and provide a different view of suggestion to provide more concise possibilities to tackle the root cause for the cell abnormality issues. So here i am , please take me as newbie and support me to give better insights of AI world and how it can make my FA life better. Thank you
1 Like
Have you checked out the anomaly detection algorithm in the Machine Learning Specialization?
1 Like