GB-SAR Deformation Monitoring: Performance Analysis and Primary Experimental Results

2013 ◽  
Author(s):  
Cong Mao ◽  
Feifeng Liu ◽  
Chong Ni ◽  
Cheng Hu
Keyword(s):  
Performance Analysis ◽  
Deformation Monitoring ◽  
Experimental Results ◽  
Monitoring Performance

PERFORMANCE ANALYSIS OF THE SUPERCOMPUTER BASED ON RASPBERRY PI NODES

2021 ◽  
pp. 76-86
Author(s):  
Hai
Keyword(s):  
Performance Analysis ◽  
Energy Efficient ◽  
Multicore Processors ◽  
Electrical Power ◽  
Experimental Results ◽  
Raspberry Pi ◽  
Cooling Towers ◽  
Cluster Architecture ◽  
Cooling Technology ◽  
Almost All

In this paper, a new Raspberry PI supercomputer cluster architecture is proposed. Generally, to gain speed at petaflops and exaflops, typical modern supercomputers based on 2009-2018 computing technologies must consume between 6 MW and 20 MW of electrical power, almost all of which is converted into heat, requiring high cost for cooling technology and Cooling Towers. The management of heat density has remained a key issue for most centralized supercomputers. In our proposed architecture, supercomputers with highly energy-efficient mobile ARM processors are a new choice as it enables them to address performance, power, and cost issues. With ARM’s recent introduction of its energy-efficient 64-bit CPUs targeting servers, Raspberry Pi cluster module-based supercomputing is now within reach. But how is the performance of supercomputers-based mobile multicore processors? Obtained experimental results reported on the proposed approach indicate the lower electrical power and higher performance in comparison with the previous approaches.

Transient Analysis of a Multi-phase Induction Machine Operating as Generator

2016 ◽  
Vol 2 (1) ◽  
pp. 79
Author(s):  
Alok Kumar Mohanty ◽  
K B Yadav
Keyword(s):  
Power Generation ◽  
Performance Analysis ◽  
Experimental Analysis ◽  
Transient Analysis ◽  
Induction Machine ◽  
Experimental Results ◽  
Three Phase ◽  
Different Types ◽  
Generating Mode ◽  
Multi Phase

<em>Multi-phase machines are considered serious contenders as compared to the three phase machines for variable applications in generating mode. </em><em>This paper presents the transient performance analysis of a multi-phase induction machine operating in six-phase mode for power generation. In this paper the simulation and experimental analysis of a six-phase machine in generating mode have been made. The simulations are made and the machine functionality was investigated during no-load and when subjected to different types of loads. Experimental results are provided to confirm the ability of these models to represent during no load as well as during load period and the result were found to be satisfactory for power generation</em>.

Detection of Shifts in GPS Measurements for a Long-Span Bridge Using CUSUM Chart

2016 ◽  
Vol 16 (04) ◽  
pp. 1640024 ◽  
Author(s):  
Ting-Hua Yi ◽  
Hong-Nan Li ◽  
Gangbing Song ◽  
Qing Guo
Keyword(s):  
Deformation Monitoring ◽  
Experimental Results ◽  
High Rate ◽  
Cumulative Distribution ◽  
Control Technique ◽  
Cusum Chart ◽  
Shewhart Chart ◽  
Long Span ◽  
Long Span Bridge ◽  
Shift Detection

Timely and correctly evaluating the quality of Global Positioning System (GPS) data is essential for reduction in the number of false alarms and missed detection of a GPS-based bridge deformation monitoring system. This paper investigates how to use the statistical process control technique, known as the cumulative sum (CUSUM) chart, for the detection of small but persistent shifts in the high-rate GPS carrier-phase measurements. First, a mathematical model for the shift detection based on the continuous hypothesis testing is established. The main features and implementation procedure of the CUSUM chart for the shift detection are then summarized, and the corresponding parameter selection method is discussed in detail. To meet the normality requirement of the CUSUM chart, a novel method that transfers the data to the Q-statistic by the estimated cumulative distribution functions is proposed according to the probability integral transform theory. This is followed by a simulation carried out to evaluate the detection performance of the CUSUM chart and exploit its advantages to the commonly used Shewhart chart for the high-rate GPS monitoring data with different shift sizes. Experimental results have showed that the CUSUM chart is sensitive to small persistent shifts compared to the Shewhart chart although it has a delay problem. The integration of CUSUM chart and Shewhart chart would be a reliable approach for the shift detection. Finally, an on-site dynamic monitoring experiment is carried out on a long-span bridge to validate the proposed approach’s effectiveness in detecting an actual deformation shift, and the experimental results proved to be very encouraging.

Sign in / Sign up

Export Citation Format

Share Document