Marcella Miller

University of Cincinnati | UC · National Science Foundation Industry University Coopertive Research for Intelligent Maintenance Systems (IMS)

Electric Vehicles (EVs) have become a trending topic in recent years due to the industry’s race for competitive pricing as well as environmental awareness. These concerns have led to increased research into the development of both affordable and environmentally friendly EV technology. This paper aims to review EV-related issues beginning with the c...

The degradation of the ball screw drive reduces preload effect and eventually accounts for precision loss and backlash. Traditional methods detect the inception of preload loss considering features from the overall vibration sensor or controller signal. The sensor signal obtained from a ball screw assembly is nonlinear and non-stationary as its dyn...

In industrial applications, the mechanical wear on ball screw components can lead to a loss of positioning accuracy that reduces the operational reliability and reproducibility of production systems. Existing monitoring solutions are impractical for real industrial settings or are unable to provide quantifiable estimates of the magnitude of degrada...

Intelligent data-driven fault diagnostics for rotating machinery is well established. However, ball screws pose a unique challenge of impractical sensor locations for long-term deployment due to their complex motion trajectory and sophisticated mechanical structure. To overcome this challenge, an indirect sensing method is proposed. While technique...

Feature design and selection is challenging because of huge data volume and high-mix production systems. Most engineers still rely on human experts to suggest the specific sensor channel and specific time frames of data from which to design the features. This study proposes a novel approach for important sensor screening to prioritize the useful se...

Feature design and selection is challenging because of huge data volume and high-mix production systems. Most engineers still rely on human experts to suggest the specific sensor channel and specific time frames of data from which to design the features. This study proposes a novel approach for important sensor screening to prioritize the useful se...

Please see the published version @Manufacturing Leadership Council: https://www.manufacturingleadershipcouncil.com/2020/09/30/5g-and-smart-manufacturing/

Bandsaw machines are widely used in the rough machining stage to cut various materials into required dimensions. Deterioration on the blade, which is a critical component of the bandsaw machine, not only causes a waste of cutting material but also represents a major portion of the operation & maintenance cost for the machine user. Although non-high...