In the article Researchers to Begin $1.5 Million Project for Manufacturing Industry, the author explains how a teams from Penn State, Case Western Reserve University, GE Global Research Center, and Microsoft are collaborating on a smart manufacturing research project. The project aims to help machines internally recognize signs and wear and fault conditions through the use of cloud-based wireless sensing and prognostic system for monitoring machinery health conditions. The overall goal is for the machines themselves to make intelligent decisions about fault detection and proactive maintenance scheduling, hence smart machines. The use of the IoTs, cloud computing big data analytics, and machine learning allows this smart ecosystem to exist.
The project brings experts from across academia and industry together. On the academic side there are experts from the fields of industrial and manufacturing engineering and mechanical and aerospace engineering. On the industry side there are experts from GE’s industrial internet of things global research center and senior managers from Microsoft. Penn State will be hosting the project, but the project is 50% funded by Digital Manufacturing and Design Innovation Institute (DMDII). DMDII, which was founded in 2014, is funded by the US department of Defense along with number of other entities with the purpose of digitally transforming American manufacturing.
The plan is to begin in February of 2017 and run the project for 18 months. The actual workings of the project will be done in FAME (Factory for Advanced Manufacturing Education) which is a 10,000-square- foot integrated high-bay laboratory for teaching and research. Senior Research Associate Wu stated the overall purpose of the project as “The overall goal of this research is to establish a generic framework for real-time process monitoring, diagnosis and prognosis for smart manufacturing using cloud computing and big data analytics.” It’s easy to see that with lofty goals as described above, this smart manufacturing project could help transform the industry. Only time will tell how successful the project becomes, and possibly even more important, how the results are viewed and accepted by the greater manufacturing industry.
Do you believe the team will be successful at creating a generic framework that can be used by a majority of the manufacturing industry?
Do you think the project will stay within budget and finish on time?
What are your thoughts on the fact the Department of Defense is funding part of this project?