2017 IEEE International Conference on Big Data (Big Data) 2017
DOI: 10.1109/bigdata.2017.8258502
|View full text |Cite
|
Sign up to set email alerts
|

Distributed wireless sensing for fugitive methane leak detection

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
9
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
2
2
1

Relationship

0
5

Authors

Journals

citations
Cited by 11 publications
(9 citation statements)
references
References 20 publications
0
9
0
Order By: Relevance
“…[5,19] More complex models are capable of taking influences like wind speed and direction into account. [6,7] In contrast to closely related processing steps of the measured signals, a more general task is fault detection and isolation (FDI). The event of a leakage is typically defined as a so-called parameter fault in the FDI community.…”
Section: Related Workmentioning
confidence: 99%
See 3 more Smart Citations
“…[5,19] More complex models are capable of taking influences like wind speed and direction into account. [6,7] In contrast to closely related processing steps of the measured signals, a more general task is fault detection and isolation (FDI). The event of a leakage is typically defined as a so-called parameter fault in the FDI community.…”
Section: Related Workmentioning
confidence: 99%
“…[4] Still, point detectors are limited in detection range which supports the focus on point detector networks. [5][6][7] Another way solving this issue is line-and area sensors covering wider ranges. [8][9][10] Beside classical detection methods also other technologies like acoustics are becoming more popular.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…Point sensors report the detected gas in concentration units (parts per million, or ppm), have typical response times on the order of seconds to tens of seconds, and can often detect concentrations of < 1 ppm, depending on the technology used and the type of gas detected [21,22]. They typically cannot discriminate among different gas types, and generally have different response amplitudes for different gases, so that the gas type must be known a priori for accurate concentration measurement.…”
Section: Point Sensor Networkmentioning
confidence: 99%