To ensure the driving safety and avoid potential failures for electric vehicles, evaluating the
health state of the battery properly is of significant importance. This study aims to serve as a …

To prevent probable battery failures and ensure safety, battery state of health evaluation is a
critical step. This study lays out a coherent literature review on battery health estimation …

The early work on long range guided wave nondestructive testing (NDT) was largely done in
industry, and multiple applications were developed before a surge in academic interest …

Rails are systematically inspected for internal and surface defects using various non-
destructive evaluation (NDE) techniques. During the manufacturing process, rails are …

Supervised machine learning techniques are increasingly being combined with ultrasonic
sensor measurements owing to their strong performance. These techniques also offer …

This paper proposes a multi-source data fusion algorithm for rail surface defect detection in
both camera-based rail inspection images and ultrasound B-scan images. First, we design a …

Defects in the rails can affect the operational safety of the railway. In order to examine the
knowledge structure of the research about the ultrasonic testing of rail defects, a systematic …

This article presents a novel transfer learning approach for evaluating structural conditions
of rail in a progressive manner, by using acoustic emission monitoring data and knowledge …

Alongside the development of high-speed rail, rail flaw detection is of great importance to
ensure railway safety, especially for improving the speed and load of the train. Several …

The unavoidable increase in train speed and load, as well as the aging of railway facilities,
is requiring more and more attention to rail defects detection. As a promising tool for rail, in …