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This paper presents methods of feature optimization for bearing fault diagnosis. These methods optimize statistical features in time domain and frequency domain. These optimization methods mainly consist of dimensionless processing and evaluation. Dimensionless processing method is used to avoid the influence of dimension and magnitude to the sensitivity. Fault sensitivity and discrete degree of features...
Fuzzy Cognitive Maps (FCMs) are a causal modelling technique. FCM models contain nodes (representing the concepts to be modelled) and directed weighted edges (representing the causal relations between the concepts). Data-driven FCM learning algorithms are an objective approach with the potential to discover the causal relations that are unknown to human experts. Learning FCM from data can be a difficult...
Incorporating patent litigation into a durable-good duopoly model, we revisit the optimal licensing contract on a cost-reducing innovation. We consider a simultaneous move game between two durable-good firms in a quantity-setting. The outside innovator chooses from fix fee, royalty or their combination maximizing his profits without triggering patent litigation. We also relate the optimal licensing...
Tracking data provenance (or lineage) has become increasingly important in many large-scale applications, and a few methods have been proposed to record data provenance recently. However, most of previous works mainly focus on deterministic databases except Trio style lineage that aims at probabilistic databases, which is much more challenging because of the exponential growth of possible world instances...
Based on the maximal velocity distribution uniformity, the minimal velocity-weighed average bias angle of the outlet section and the minimal hydraulic loss of the suction chamber, three optimum object functions of suction chambers of pipeline pumps are established. According to uniform design, ten optimum schemes are determined with the height H3 and the length L as the optimum parameters, and internal...
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