14 research outputs found
Gamma Ray Flashes Produced by Lightning Observed at Ground Level by TETRA-II
In its first 2 years of operation, the ground-based Terrestrial gamma ray
flash and Energetic Thunderstorm Rooftop Array(TETRA)-II array of gamma ray
detectors has recorded 22 bursts of gamma rays of millisecond-scale duration
associated with lightning. In this study, we present the TETRA-II observations
detected at the three TETRA-II ground-level sites in Louisiana, Puerto Rico,
and Panama together with the simultaneous radio frequency signals from the
VAISALA Global Lightning Data set, VAISALA National Lightning Detection
Network, Earth Networks Total Lightning Network, and World Wide Lightning
Location Network. The relative timing between the gamma ray events and the
lightning activity is a key parameter for understanding the production
mechanism(s) of the bursts. The gamma ray time profiles and their correlation
with radio sferics suggest that the gamma ray events are initiated by lightning
leader activity and are produced near the last stage of lightning leader
channel development prior to the lightning return stroke.Comment: 10 pages, 9 figure
Model-based Fault Detection and Isolation using Neural Networks: An Industrial Gas Turbine Case Study
This study proposed a model based fault
detection and isolation (FDI) method using multi-layer
perceptron (MLP) neural network. Detection and isolation
of realistic faults of an industrial gas turbine engine in
steady-state conditions is mainly centered. A bank of MLP
models which are obtained by nonlinear dynamic system
identification is used to generate the residuals, and also
simple thresholding is used for the intend of fault detection
while another MLP neural network is employed to isolate
the faults. The proposed FDI method was tested on a singleshaft
industrial gas turbine prototype and it have been
evaluated using non-linear simulations based on the real
gas turbine data. A brief comparative study with other
related works in the literature on this gas turbine
benchmark is also provided to show the benefits of
proposed FDI method