The term of Curse of Dimensionality implicitly expresses the challenge for anomaly detection
in a high-dimensional space. Because the distribution of anomalies in the high-dimensional …

Fault diagnosis is an important technology for performing intelligent manufacturing. To
simultaneously maintain high manufacturing quality and low failure rate for manufacturing …

Noise, redundancy, and dynamic characteristics in industrial process data have been
regarded as the key factors that affect the measurement accuracy of data-driven soft …

Deep model is a useful tool that can extract smooth manifold from data. As a computationally
intensive method, however, model parameters and data sparsity are common factors that …

Background Process monitoring plays an important role in ensuring plant safety and product
quality. Among various monitoring methods, visual process monitoring provides an intuitive …

Rolling bearings are a key component for ensuring the safe and smooth operation of rotating
machinery and are very prone to failure. Therefore, intelligent fault diagnosis research on …

3. 云南昆钢电子信息科技有限公司, 云南昆明650500) 摘要: 转炉炼钢中碳温的准确检测是终点
判断的关键, 基于数据驱动的终点碳温软测量方法是一种有效途径, 但转炉炼钢生产过程数据 …

Learning an efficient discriminative projection to extract meaningful features from high-
dimensional data is a challenging task in machine learning. However, most of the existing …

The degradation assessment of rolling bearings provides a reasonable maintenance plan
for the safe operation of mechanical equipment. The general strategy for bearing condition …

Graph embedding-based discriminative dimensionality reduction has remained to be a
popular research topic over the past few decades. The weight functions in adjacent graphs …