Optical system development and performance testing of the NEAR laser rangefinder

Author(s):  
Mark T. Boies ◽  
Timothy D. Cole ◽  
Ashruf S. El-Dinary ◽  
R. Alan Reiter
2015 ◽  
Vol 37 (3) ◽  
pp. 209-229 ◽  
Author(s):  
Sung Gug Kim ◽  
Ashwini Sawant ◽  
Ingeun Lee ◽  
Dongsung Kim ◽  
MunSeok Choe ◽  
...  

Author(s):  
Jared J. Wentz

Dresser Waukesha’s 275GL engine series, released in 2009, included an Engine System Manager (ESM) to manage and control critical engine operations. These engines are typically used in mechanical drive applications for natural gas compression as well as power generation at 2500 to 3300 kWb (3400–4500 bhp). The 275GL is now being offered in a low NOx configuration designated the 275GL+, that features a NOx based Air/Fuel Ratio (AFR) control. Market analysis determined that an engine with lower NOx output emissions while maintaining peak performance is of high importance. Utilizing a traditional oxygen based AFR system has limitations when controlling emissions at extreme low NOx values. In order to meet these needs and maintain a consistent low NOx level, development of a control system that allows an engine to achieve these requirements was essential. A NOx sensor based control system was developed to control extremely low NOx values while accounting for engine wear, humidity and fuel changes. An oxygen based AFR system has limitations that make it difficult, if not impossible, to use this approach for extremely low NOx levels. Some of these limitations can be attributed to sensor signal masking due to exhaust gases and having to correlate O2 to NOx for the specific application. This new NOx sensing functionality enables robust control of specific NOx emissions at varying engine and environmental conditions, yielding a powerful addition to the ESM engine control system applied on the 275GL engine. The NOx control running with ESM allows for the engine to achieve 0.5 g/bhp-hr NOx levels while maintaining fuel efficiency, fuel tolerance, and turndown range. This paper discusses the key testing, results and performance of this development when implemented on the 275GL+ engine.


2013 ◽  
Vol 33 (5) ◽  
pp. 0522005 ◽  
Author(s):  
李璟 Li Jing ◽  
杨宝喜 Yang Baoxi ◽  
胡中华 Hu Zhonghua ◽  
肖艳芬 Xiao Yanfen ◽  
黄惠杰 Huang Huijie

2020 ◽  
pp. 1-12
Author(s):  
Wu Xin ◽  
Qiu Daping

The inheritance and innovation of ancient architecture decoration art is an important way for the development of the construction industry. The data process of traditional ancient architecture decoration art is relatively backward, which leads to the obvious distortion of the digitalization of ancient architecture decoration art. In order to improve the digital effect of ancient architecture decoration art, based on neural network, this paper combines the image features to construct a neural network-based ancient architecture decoration art data system model, and graphically expresses the static construction mode and dynamic construction process of the architecture group. Based on this, three-dimensional model reconstruction and scene simulation experiments of architecture groups are realized. In order to verify the performance effect of the system proposed in this paper, it is verified through simulation and performance testing, and data visualization is performed through statistical methods. The result of the study shows that the digitalization effect of the ancient architecture decoration art proposed in this paper is good.


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