Review of the article “In Situ Detection of Water Quality Contamination Events Based on Signal Complexity Analysis Using Online UV-VIS Spectral Sensor”, verified by Publons, Web of Science
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2017
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Abstract: The contaminant detection in water distribution systems is essential to protect public
health from potential harmful compounds resulting from accidental spills or intentional releases.
As a noninvasive optical technique, ultraviolet-visible spectroscopy is investigated for detecting
contamination events. However, current methods for event detection exits the shortcomings of
noise susceptibility. In this paper, a new method that has less sensitivity on noise was proposed
to detect water quality contamination events by analyzing the complexity of the UV-vis spectrum
series. The proposed method applied approximate entropy (ApEn) to measure spectrum
signals’ complexity, which made a distinction between normal and abnormal signals. And the
impact of noise was attenuated with the help of ApEn’s insensitive to signal disturbance. This
method was tested on a real water distribution system data set with various concentration simulation events. Results from the experiment and ...analysis show that the proposed method has
a good performance on noise tolerance and provides a better detection result compared with
autoregressive (AR) model and sequential probability ratio test (SPRT).
Izvor:
Applied Optics, 2017, 1/296373-12Kolekcije
Institucija/grupa
Mašinski fakultetTY - JOUR AU - Jovanović, Tamara PY - 2017 UR - https://machinery.mas.bg.ac.rs/handle/123456789/6196 AB - Abstract: The contaminant detection in water distribution systems is essential to protect public health from potential harmful compounds resulting from accidental spills or intentional releases. As a noninvasive optical technique, ultraviolet-visible spectroscopy is investigated for detecting contamination events. However, current methods for event detection exits the shortcomings of noise susceptibility. In this paper, a new method that has less sensitivity on noise was proposed to detect water quality contamination events by analyzing the complexity of the UV-vis spectrum series. The proposed method applied approximate entropy (ApEn) to measure spectrum signals’ complexity, which made a distinction between normal and abnormal signals. And the impact of noise was attenuated with the help of ApEn’s insensitive to signal disturbance. This method was tested on a real water distribution system data set with various concentration simulation events. Results from the experiment and analysis show that the proposed method has a good performance on noise tolerance and provides a better detection result compared with autoregressive (AR) model and sequential probability ratio test (SPRT). T2 - Applied Optics T1 - Review of the article “In Situ Detection of Water Quality Contamination Events Based on Signal Complexity Analysis Using Online UV-VIS Spectral Sensor”, verified by Publons, Web of Science EP - 12 SP - 1/296373 UR - https://hdl.handle.net/21.15107/rcub_machinery_6196 ER -
@article{ author = "Jovanović, Tamara", year = "2017", abstract = "Abstract: The contaminant detection in water distribution systems is essential to protect public health from potential harmful compounds resulting from accidental spills or intentional releases. As a noninvasive optical technique, ultraviolet-visible spectroscopy is investigated for detecting contamination events. However, current methods for event detection exits the shortcomings of noise susceptibility. In this paper, a new method that has less sensitivity on noise was proposed to detect water quality contamination events by analyzing the complexity of the UV-vis spectrum series. The proposed method applied approximate entropy (ApEn) to measure spectrum signals’ complexity, which made a distinction between normal and abnormal signals. And the impact of noise was attenuated with the help of ApEn’s insensitive to signal disturbance. This method was tested on a real water distribution system data set with various concentration simulation events. Results from the experiment and analysis show that the proposed method has a good performance on noise tolerance and provides a better detection result compared with autoregressive (AR) model and sequential probability ratio test (SPRT).", journal = "Applied Optics", title = "Review of the article “In Situ Detection of Water Quality Contamination Events Based on Signal Complexity Analysis Using Online UV-VIS Spectral Sensor”, verified by Publons, Web of Science", pages = "12-1/296373", url = "https://hdl.handle.net/21.15107/rcub_machinery_6196" }
Jovanović, T.. (2017). Review of the article “In Situ Detection of Water Quality Contamination Events Based on Signal Complexity Analysis Using Online UV-VIS Spectral Sensor”, verified by Publons, Web of Science. in Applied Optics, 1/296373-12. https://hdl.handle.net/21.15107/rcub_machinery_6196
Jovanović T. Review of the article “In Situ Detection of Water Quality Contamination Events Based on Signal Complexity Analysis Using Online UV-VIS Spectral Sensor”, verified by Publons, Web of Science. in Applied Optics. 2017;:1/296373-12. https://hdl.handle.net/21.15107/rcub_machinery_6196 .
Jovanović, Tamara, "Review of the article “In Situ Detection of Water Quality Contamination Events Based on Signal Complexity Analysis Using Online UV-VIS Spectral Sensor”, verified by Publons, Web of Science" in Applied Optics (2017):1/296373-12, https://hdl.handle.net/21.15107/rcub_machinery_6196 .