Abstract: Direct inverse analysis of faults in machinery systems such as gears using first principle is intrinsically difficult, owing to the multiple time- and length-scales involved in vibration modeling. As such, data-driven ...

Abstract: Finite element model (FEM) is a broadly used numerical tool in structural damage detection. In such applications, damage parameters in FEM are estimated by minimizing the differences between experimental modal analysis ...

Abstract: This paper presents an L1 adaptive controller for pressure control using an engine bleed valve in an aircraft air management system (AMS). The air management system is composed of two pressure-regulating bleed valves, a ...

Abstract: This research concerns the uncertainty analysis and quantification of the vibration system utilizing the frequency response function (FRF) representation with statistical metamodeling. Different from previous statistical ...

Abstract: Robotic additive manufacturing (RAM) offers significant improvements in maximum build volume compared to conventional bounded designs (e.g., gantry) by leveraging high degrees-of-freedom machines and multi-robot cooperation. ...

Abstract: Understanding the behavior of carbon diffusion in austenite is critical to the design and optimization of heat treatment processes such as vacuum carburization of alloy steels. The carburization process is complex due to ...

Abstract: Bolt loosening is a major concern in many structural systems, especially in critical applications like pressure vessels. Traditional detection methods, such as acoustic emission, fiber Bragg-grating sensing, and vibration-based ...

Abstract: Linearization of the eigenvalue problem has been widely used in vibration-based damage detection utilizing the change of natural frequencies. However, the linearization method introduces bias in the estimation of damage ...