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In this paper, we introduce a novel method for reconstructing roller bearings vibration signals. As well as the sparse reconstruction algorithm, our approach is based on the Lasso via the alternate direction multiplier method (ADMM) and optimized by least square QR-factorization (LSQR), which takes the priority over the Basis Pursuit and Lasso in iterations and errors. First, we use the discrete cosine...
The charging behavior of large scale electric vehicle (EV) fleet has the time-spatial characteristics, in this paper the charging characteristics and driving behaviors of an EV was analyzed, and the EV charging load model has been developed. Based on the Monte Carlo method, the charging model of large scale EVs has been built and the impacts of the charging behaviors of the large amount EVs has been...
Resource and project optimization scheduling has become the key of the success of researching project in the enterprises. In order to solve the mass resource constrained project scheduling problem, in this paper, an improved particle swarm algorithm (PSO) called particle swarm algorithm with crossover (CPSO) was presented. This improved algorithm is based on PSO and genetic algorithm (GA). Through...
We propose a robot path planning method based on particle swarm optimization in an uncertain environment. We consider the case that a robot's cognition to its environment is not complete, i.e., the information of these obstacles in the environment is uncertain. We firstly construct a global environment model based on the uncertain information of these obstacles, and then give a globally optimal path...
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