Nano-reliability measures the ability of a nano-scaled product to perform its intended
functionality. At the nano scale, the physical, chemical, and biological properties of materials …

Nanotechnology has received a considerable amount of attention from various fields and
has become a multidisciplinary subject, where several research ventures have taken place …

Wear detection and monitoring during operation are complex and difficult tasks especially
for materials under sliding conditions. Due to the permanent contact and repetitive motion …

Functional data characterize the quality or reliability performance of many manufacturing
processes. As can be seen in the literature, such data are informative in process monitoring …

In this paper, a novel method based on lifting scheme and Mahalanobis distance (MD) is
proposed for detection of tool breakage via acoustic emission (AE) signals generated in end …

Tool wear is a fundamental aspect of the machining process. Therefore, tool condition
monitoring is of paramount importance to ensure part quality and avoid catastrophic …

This article presents new data reduction methods based on the discrete wavelet transform to
handle potentially large and complicated nonstationary data curves. The methods minimize …

The goal of this work is to use sensor data for online detection and identification of process
anomalies (faults). In pursuit of this goal, we propose Dirichlet process Gaussian mixture …

We present a deterministic process-machine interaction (PMI) model that can associate
different complex time-frequency patterns, including nonlinear dynamic behaviors that …

This work concerns the concept and verification of the experimental possibility of using a
wavelet transform to assess a steel structure's condition. In the research, a developed …