scholarly journals Increasing of on-board radar system reliability with use of failure detection and reconfiguration system

2020 ◽  
pp. 6-10
Author(s):  
Ju. S. Sokolova

The paper considers the possibility of improving the reliability of the on-board radar system by implementation of failures detection and reconfiguration system, as well as predicting and searching of failure locations up to the specified depth of failure search in real time, failures prediction by introducing into the system of pre-failure states of normalized parameters of on-board radar system components. The reconfiguration methods or partially restoring of the antenna phased array by failures generation and loading them into the detection system and reconfiguration of amplitude-phase distributions of emitters or the matrix of a new amplitude-phase distribution in real time are considered. The block diagram, description and operating principle of the fault detection and reconfiguration system are presented. The algorithm of the failure detection and reconfiguration system is given.

2021 ◽  
Author(s):  
Susanne Wahlen ◽  
Severin Stähly ◽  
Lino Schmid ◽  
Lorenz Meier ◽  
Tommaso Carlà ◽  
...  

<p>Transportation corridors in mountain regions are often situated at the bottom of narrow valleys. Changing slope stability conditions can put these routes at critical risk. Slope stabilization works (e.g., rock scaling, blasting) or structural protection measures (e.g., rock sheds, reinforced embankments, tunnels) are not always feasible or may not be cost-effective due to low average daily traffic or the expected event size. Route SP29 is the main connection road to Santa Catarina, a popular tourist resort in the Frodolfo River Valley, Lombardy, Italy. The Ruinon landslide is a major slope instability involving approximately 30 million m<sup>3</sup> of rock and debris and causes repeated rockfalls that can reach as far as the road. </p><p>We present a Doppler radar system for real-time rockfall detection and immediate road closure in case of an event. The rockfall radar permanently monitors the landslide area from the opposite side of the slope with a range of more than 1 km to the upper scarp. Radar technology works reliably regardless of visibility, i.e. in rain, fog or snowfall as well as at night. After an initial calibration period in summer 2020, we activated automatic road closure and reopening in case of a rockfall event; upon detection of rockfall in a defined region of interest, the radar system automatically switches the traffic lights to red. If the rock fall event reaches a defined zone near the road or the road itself, it remains closed and requires manual reset after site inspection with webcams at the radar site and the traffic lights. If the rockfall event remains above the road, then the radar system automatically releases the road again after 90 seconds. Automatic notifications about the status are sent to authorized user via email and SMS. In addition to the deployment of the alarm system using Doppler radar, the embankment along the endangered road section was reinforced and raised. These combined measures of protection structures and alarm system aim at maximising the opening hours of the street while providing the highest possible level of protection. Between July (installation) and December 2020, 60 rockfall events caused a road closure, with the road being automatically reopened by the system in approximately 85% of cases.</p>


2014 ◽  
Vol 511-512 ◽  
pp. 518-523
Author(s):  
Zhong Hong Shen ◽  
Qun Xing Liu

Using machine vision technology to realize the real-time automatic collection of test parameters including light and color of LED lamps during the experiments. The failure mechanisms were researched and the reference failure mechanisms were given according to the parameters change situation of the failure lamps, in order to implement rapid and automatic detection of test conditions of LED lamps, which can accelerate the research processes of LED lamps and related products, and promote the industrialization process of LED. The fast automatic failure detection system for LED lamps based on machine vision technology proposed in this paper had great significance for LED lamps research organizations such as testing organizations, research institutes, as well as manufacturers, and it was worthy of learning for them.


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