Yuchang Mo

This paper proposes a new analytical method based on multi-valued decision diagrams (MDDs) for the reliability analysis of such multi-state k-out-of-n systems. Expand

This paper proposes a new method based on multiple-valued decision diagrams (MDDs) for the reliability analysis of a non-repairable binary-state PMS. Expand

We present a generalized analysis methodology for binary decision diagram-based fault tree analysis of a wide range of phased-mission systems, with various mission requirements, and structure characteristics. Expand

A new approach based on information gain for multi-label feather selection (IGMF) is presented in this paper. Expand

We propose a novel anonymization method, named MAGE, which can retain more semantics than generalization and microaggregation in dealing with mixed microdata. Expand

This paper develops four ordering heuristics for DEP-BDD based on two ordinary schemes, and evaluates these schemes & heURistics with hundreds of randomly generated fault trees having different sizes and structure properties. Expand

We propose a new learning algorithm under the framework of kNN that adopts mutual nearest neighbors, rather than k nearest neighbors to determine the class labels of unknown instances. Expand

We propose a new method that can assess reliability of an MS-PMS by fusing observation data collected from multiple phases of operation. Expand

In this study, we re-visit the imbalanced-class problem for fault detection and diagnosis of chiller in the heating, ventilation and air-conditioning (HVAC) system and re-balance the training dataset for chiller AFDD. Expand