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Efficient analysis of multi-state k-out-of-n systems
TLDR
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
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A Multiple-Valued Decision Diagram Based Method for Efficient Reliability Analysis of Non-Repairable Phased-Mission Systems
TLDR
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
  • 78
  • 4
New Insights Into the BDD-Based Reliability Analysis of Phased-Mission Systems
  • Yuchang Mo
  • Mathematics, Computer Science
  • IEEE Transactions on Reliability
  • 7 August 2009
TLDR
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
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Multi-label Feature Selection via Information Gain
TLDR
A new approach based on information gain for multi-label feather selection (IGMF) is presented in this paper. Expand
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MAGE: A semantics retaining K-anonymization method for mixed data
TLDR
We propose a novel anonymization method, named MAGE, which can retain more semantics than generalization and microaggregation in dealing with mixed microdata. Expand
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Variable Ordering to Improve BDD Analysis of Phased-Mission Systems With Multimode Failures
  • Yuchang Mo
  • Engineering, Computer Science
  • IEEE Transactions on Reliability
  • 10 February 2009
TLDR
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
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A New Classification Algorithm Using Mutual Nearest Neighbors
TLDR
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
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Reliability assessment of multi-state phased-mission systems by fusing observation data from multiple phases of operation
TLDR
We propose a new method that can assess reliability of an MS-PMS by fusing observation data collected from multiple phases of operation. Expand
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NEW RESULTS TO BDD TRUNCATION METHOD FOR EFFICIENT TOP EVENT PROBABILITY CALCULATION
A Binary Decision Diagram (BDD) is a graph-based data structure that calculates an exact top event probability (TEP). It has been a very difficult task to develop an efficient BDD algorithm that canExpand
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Generative adversarial network for fault detection diagnosis of chillers
TLDR
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
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