Showing papers by "Zhiwei Gao published in 2014"
TL;DR: In this article, a smart controller is proposed which determines the optimal charging current based on grid voltage, battery state of health and user's trip requirements to extend battery cycle life and have minimum impact on the grid supply.
41 citations
09 Jun 2014
TL;DR: In this article, a robust fault detection filter is designed for a 3MW wind turbine system, where the parameter eigenvalue assignment approaches and evolutionary optimal algorithms are integrated to seek optimal observer gain such that the residual signal is sensitive to the fault, but robustness against the disturbances.
Abstract: In this paper, a robust fault detection filter is designed for a 3MW wind turbine system. The parameter eigenvalue assignment approaches and evolutionary optimal algorithms are integrated to seek optimal observer gain such that the residual signal is sensitive to the fault, but robustness against the disturbances. From all the simulations, the performance of fault detections is satisfactory.
23 citations
09 Jun 2014
TL;DR: Based on the reduced-order model, a fault detection filter is designed to detect actuator faults and sensor faults for the system subjected to input and output noises in this paper, where the genetic optimization algorithm is used to design the filter gains such that the residual signal is sensitive to the faults and robust to process and sensor noises.
Abstract: In this paper, an aero gas turbine engine with three shafts are investigated. By employing data-driven method, a reduced-order model is obtained, which has the close output performance as the 14th-order full-order model. Based on the reduced-order model, a fault detection filter is designed to detect actuator faults and sensor faults for the system subjected to input and output noises. Genetic optimization algorithm is used to design the filter gains such that the residual signal is sensitive to the faults, but robust to process and sensor noises. Simulated results demonstrate the efficiency of the present algorithm.
5 citations
09 Jun 2014
TL;DR: In terms of the concepts of gene force and gene community network, a novel multi-layer filter is proposed to screen the core genes, composed of iron-related gene HAMP, metal-related metallothionein genes, and tumor proliferation-related GPC3 gene, to form and development mechanism of the HCC.
Abstract: In terms of the concepts of gene force and gene community network, a novel multi-layer filter is proposed to screen the core genes. Applying the present algorithm to liver cancer microarray data with 3964 genes, the three core genes, composed of iron-related gene HAMP, metal-related metallothionein genes, and tumor proliferation-related GPC3 gene are screened. Based on these core genes, the formation and development mechanism of the HCC and the relationship between the HCC and trace metals, such as copper, iron and zinc, are analyzed and revealed.
3 citations
23 Jun 2014
TL;DR: In this paper, a quantitative review of early detection and estimation of fault for wind turbine system is presented, where a model-based technique is proposed to provide an assessment of all possible faults for renewable energy sources.
Abstract: This paper presents a quantitative review of early detection and estimation of fault for wind turbine system The model-based technique is proposed to provide an assessment of all possible faults for renewable energy sources The augmented observer is applied to estimate the real physical data of the system sensor faults and states simultaneously The fault detection and diagnosis is designed to be most sensitive to faults and states of wind turbine system A mathematical example is specified to exhibit the dynamic system behavior for the wind turbine model to validate the competence of the system performance The state space is used to explain the design The satisfactory fault diagnosis performance is demonstrated in the simulation results
1 citations