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Articles 1 - 4 of 4
Full-Text Articles in Industrial Technology
Generalizable And Adaptable Data-Driven Methods For Overcoming Barriers To Practical Industrial Condition Monitoring, Matthew B. Russell
Generalizable And Adaptable Data-Driven Methods For Overcoming Barriers To Practical Industrial Condition Monitoring, Matthew B. Russell
Theses and Dissertations--Electrical and Computer Engineering
The future of smart manufacturing relies on predictive maintenance systems that intelligently minimize expensive downtime through timely assessment of machine condition. Deep Learning (DL) has achieved excellent performance in industrial condition monitoring experiments, but the constraints of the manufacturing environment prevent many algorithms from being practically deployed on the factory floor. Ubiquitous sensing from online machines generates high velocity data streams that require new techniques for efficient transmission and storage. Despite these ever-increasing data lakes, many applications still lack the data needed for training DL fault diagnosis and wear tracking models since most data is unlabeled and only from nominal …
Fujio Cho Legacy Lecture Notes, Fujio Cho, Kozo Saito
Fujio Cho Legacy Lecture Notes, Fujio Cho, Kozo Saito
Institute of Research for Technology Development Textbook Gallery
The Fujio Cho legacy lecture was created in 2013 as part of UK Institute of Research for Technology Development (IR4TD)’s True Lean Systems program to assist industrial clients to transform their organizations to a True Lean organization by effectively using principles and tools of Toyota Production System (TPS). During the years 1987-1994, Cho and Saito worked together to layout the foundation of the now well-established Toyota-University of Kentucky relationship on R&D, True Lean Systems, and production engineering, housed in IR4TD, the Toyota endowed Institute established in 2007 with the support from the Commonwealth of Kentucky under the research competitiveness trust …
Tolerance Intervals For Time Series Models And Specifying Trimming/Winsorizing Cutoffs, Kedai Cheng
Tolerance Intervals For Time Series Models And Specifying Trimming/Winsorizing Cutoffs, Kedai Cheng
Theses and Dissertations--Statistics
Confidence intervals are used to capture a parameter of interest, usually a mean or a quantile, at a specified confidence level. Prediction intervals are another practical interval that aim at making sound predictions of future values with some confidence. Although these are useful inference tools, neither of them gives people a plausible range of the sampled population. Tolerance intervals are such an inference tool that captures a specified proportion of the sampled population at a predetermined confidence level. In this dissertation, tolerance intervals for an autoregressive process with order p are constructed. In addition, a method of utilizing tolerance interval …
Engineered Surface Properties Of Porous Tungsten From Cryogenic Machining, Julius M. Schoop
Engineered Surface Properties Of Porous Tungsten From Cryogenic Machining, Julius M. Schoop
Theses and Dissertations--Chemical and Materials Engineering
Porous tungsten is used to manufacture dispenser cathodes due to it refractory properties. Surface porosity is critical to functional performance of dispenser cathodes because it allows for an impregnated ceramic compound to migrate to the emitting surface, lowering its work function. Likewise, surface roughness is important because it is necessary to ensure uniform wetting of the molten impregnate during high temperature service. Current industry practice to achieve surface roughness and surface porosity requirements involves the use of a plastic infiltrant during machining. After machining, the infiltrant is baked and the cathode pellet is impregnated. In this context, cryogenic machining is …