scholarly journals Statistical Considerations in Designing Tests of Mine Detection Systems: 1 - Measures Related to the Probability of Detection

10.2172/1031 ◽  
1998 ◽  
Author(s):  
K.M. Simonson
Keyword(s):  
Probability Of Detection ◽  
Mine Detection ◽  
Detection Systems

scholarly journals Integrated Robotic systems for Humanitarian Demining

10.5772/5694 ◽  
2007 ◽  
Vol 4 (2) ◽  
pp. 24 ◽  
Author(s):  
E. Colon ◽  
G. De Cubber ◽  
H. Ping ◽  
J-C Habumuremyi ◽  
H. Sahli ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Lessons Learned ◽  
Mine Detection ◽  
Detection Systems ◽  
Visual Positioning ◽  
Humanitarian Demining ◽  
Typical Data ◽  
Terrain Following ◽  
Software Interfaces ◽  
Future Work

This paper summarises the main results of 10 years of research and development in Humanitarian Demining. The Hudem project focuses on mine detection systems and aims at provided different solutions to support the mine detection operations. Robots using different kind of locomotion systems have been designed and tested on dummy minefields. In order to control these robots, software interfaces, control algorithms, visual positioning and terrain following systems have also been developed. Typical data acquisition results obtained during trial campaigns with robots and data acquisition systems are reported. Lessons learned during the project and future work conclude this paper.

scholarly journals GPR Antipersonnel Mine Detection Based on Tensor Robust Principal Analysis

2019 ◽  
Vol 11 (8) ◽  
pp. 984 ◽  
Author(s):  
Xiaoji Song ◽  
Tao Liu ◽  
Deliang Xiang ◽  
Yi Su
Keyword(s):  
Target Detection ◽  
Probability Of Detection ◽  
Low Rank ◽  
Multidimensional Data ◽  
Target Response ◽  
Mine Detection ◽  
Band Pass ◽  
Suppression Method ◽  
Principal Analysis ◽  
Ground Penetrating

The ground Penetrating Radar (GPR) is a promising remote sensing modality for Antipersonnel Mine (APM) detection. However, detection of the buried APMs are impaired by strong clutter, especially the reflection caused by rough ground surfaces. In this paper, we propose a novel clutter suppression method taking advantage of the low-rank and sparse structure in multidimensional data, based on which an efficient target detection can be accomplished. We firstly created a multidimensional image tensor using sub-band GPR images that are computed from the band-pass filtered GPR signals, such that differences of the target response between sub-bands can be captured. Then, exploiting the low-rank and sparse property of the image tensor, we use the recently proposed Tensor Robust Principal Analysis to remove clutter by decomposing the image tensor into three components: a low-rank component containing clutter, a sparse component capturing target response, and noise. Finally, target detection is accomplished by applying thresholds to the extracted target image. Numerical simulations and experiments with different GPR systems are conducted. The results show that the proposed method effectively improves signal-to-clutter ratio by more than 20 dB and yields satisfactory results with high probability of detection and low false alarm rates.

Probability of Detection and False Detection for Subsea Leak Detection Systems: Model and Analysis

2015 ◽  
Vol 15 (6) ◽  
pp. 873-882 ◽  
Author(s):  
Alireda Aljaroudi ◽  
Faisal Khan ◽  
Ayhan Akinturk ◽  
Mahmoud Haddara ◽  
Premkumar Thodi
Keyword(s):  
Leak Detection ◽  
Probability Of Detection ◽  
False Detection ◽  
Detection Systems ◽  
Systems Model

Industrial Validation and Verification Approach for External Fiber Optic Based Leak Detection

2020 ◽  
Author(s):  
Chris Minto ◽  
Alastair Godfrey ◽  
Paul Clarkson ◽  
Alasdair Murray
Keyword(s):  
Negative Pressure ◽  
Large Scale ◽  
Pressure Pulse ◽  
Fiber Optic ◽  
Leak Detection ◽  
Probability Of Detection ◽  
Test Facility ◽  
Detection Systems ◽  
Mode Behavior ◽  
Valve Opening

Abstract External Leak Detection systems based on distributed fiber optic sensors (DFOS) offer the exciting potential to significantly reduce the overall amount of spilled product before a leak is detected and localized. Such systems are not well represented by industrial standards or recommended procedures and as a result most industrial attempts to validate the technology have been research-oriented and whilst these have contributed greatly to the knowledge base they have never been aimed at a full validation of the technology. Additionally, the lack of test facilities that can support the significant scale needed for validation (> 500 m straight line run) have led to a paucity of attempts to provide a baseline validation of such sensing technology leading to a lack of certainty over performance claims within the industrial user base and no robust method of testing such claims. With a significant customer base of deployed systems, OptaSense have developed a reproducible technology validation approach using full scale, full flow, representative leaks at the CTDUT test facility in Brazil. We have used these tests to validate 15 lpm leaks, detected and classified via their negative pressure pulse in ∼10 seconds and larger 150 lpm leaks, detected by our four modes of leak detection in ∼1 minute. Valid automated detection of a negative pressure pulse (NPP) was observed down to 1 mm holes in the pipe — representing a leak rate of only 1.5 lpm. The use of the NPP is shown to be a compelling rapid detection method. However, care is needed in testing since the use of a valve opening to stimulate a pulse is shown to be significantly inferior to burst disks due to the increased valve-opening time giving rise to a reduced amplitude pressure pulse. The conventional external leak detection signals of Orifice Noise, Ground Strain and Temperature Change can all be shown to be replicated at the large-scale test facility by these means leading to the potential to establish a valid Probability of Detection for all approaches. With validation now possible, client verification on site has also been addressed with a two-step approach being developed that replicates the validation approach detailed above. Negative Pressure Pulses are used for stand-alone leak detection and can be safely stimulated via accessible valve sites and product release via a burst disc / valve and orifice combination. To stimulate the Multiple Mode behavior (excluding Negative Pressure Pulse) a controlled fluid release injection mechanism has been developed, which can be introduced at an appropriate offset from the pipeline (mirrored from fiber offset) at any desired location with the minimum of preparation. Ground probe deployment techniques have been designed to simulate a leak event at the appropriate location resulting in the similar external signals arising on the fiber. This paper presents the benefits of large-scale validation approaches to performance bound acoustic-based leak detection systems and presents established options for in-field verification on customer owned systems.

Formulation and Analysis of the Probability of Detection and False Detection for Subsea Leak Detection Systems

2014 ◽  
Author(s):  
Alireda Aljaroudi ◽  
Faisal Khan ◽  
Ayhan Akinturk ◽  
Mahmoud Haddara ◽  
Premkumar Thodi
Keyword(s):  
Oil And Gas ◽  
Detection System ◽  
Oil And Gas Industry ◽  
Leak Detection ◽  
Probability Of Detection ◽  
Operating Conditions ◽  
False Detection ◽  
Potential Threat ◽  
Probability Of False Alarm ◽  
Detection Systems

Insuring the integrity of subsea process component is one of the primary business objectives for oil and gas industry. One of the systems used to insure reliability of a pipeline, is the Leak Detection System (LDS). Different leak detection systems use different technologies for detecting and locating leaks that could result from pipelines. One technology in particular that is gaining wide acceptance by the industry is the optical leak detection systems. This technology has great potential for subsea pipelines applications. It is the most suited for underwater applications due to the ease of installation and reliable sensing capabilities. Having pipelines underwater in the deep sea present a greater challenge and a potential threat to the environment and operation. Thus, there is a need to have a reliable and effective system to provide the assurances that the monitored subsea pipeline is safe and functioning as per operating conditions. Two important performance parameters that are of concern to operators are the probability of detection and probability of false alarm. This article presents a probabilistic formulation of the probability of detection and probability of false detection for fiber optic LDS based systems.

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