In machining processes several phenomena occur during material cutting. These
phenomena can affect the production through the reduction of quality or accuracy, or by …

Manufacturing plays an important role since they are among the largest energy consumers
in modern societies. With the enhancement of environmental protection and a severe …

Stamping tool wear can significantly degrade product quality, and hence, online tool
condition monitoring is a timely need in many manufacturing industries. Even though a large …

This study analyzed the sound signals obtained from the micromilling process for microtool
wear monitoring. Various spans of spectral features were created by analyzing sound …

In this paper, a tool wear diagnostic system based on the information contained in the signal
of acoustic emission (AE) is considered. In the process, experiments on milling of steel …

The selection of effective singular values using the singular value decomposition (SVD)
method has always been a hot topic. In this paper, we found that there was a special …

To suppress noise in signals, a denoising method called AIC–SVD is proposed on the basis
of the singular value decomposition (SVD) and the Akaike information criterion (AIC). First …

利用奇异值分解(Singular value decomposition, SVD) 进行信号处理的关键在于矩阵的构造,
为利用SVD 分离信号中的不同频率成分, 提出一种变矩阵结构递推SVD 算法, 其思想是在SVD …

Tool condition monitoring is an important factor in ensuring manufacturing efficiency and
product quality. Audio signal based methods are a promising technique for condition …

Modal parameter estimation of a bridge with the vibration responses measured from an
instrumented vehicle moving at a controlled speed is an active area of research. It is …