Leak Detection in Waterworks: Comparison Between STFT and FFT with an Overcoming of Limitations

Lay-Ekuakille, A.; Griffo, G.; Visconti, Paolo; Primiceri, Patrizio; Velázquez, Ramiro

doi:10.1515/mms-2017-0049

Cited by 8 publications

(5 citation statements)

References 9 publications

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“…If M is the times at which the signal is sampled, then for each of the M signals, the diagnonalization for FDM algorithm can be implemented as follow: In ( 2) and ( 3), complex frequencies are extracted from the eigenvalues 𝑢 1𝑘 and 𝑢 2𝑘 . The reader is encouraged to find more detailed on FDM algorithm structure in [21]. As for the ECG case, the EEG is considered for the patient 1 and patient 2, where patient 1 is the unsuspected child and the latter is the suspected child.…”

Section: Eeg Monitoringmentioning

confidence: 99%

Collaborative systems for telemedicine diagnosis accuracy

et al. 2021

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The transmission of medical data and the possibility for distant healthcare structures to share experiments about a given medical case raises several conceptual and technical questions. Good remote healthcare monitoring deals with more problems in personalized heath data processing compared to the traditional methods nowadays used in several parts of hospitals in the world. The adoption of telemedicine in the healthcare sector has significantly changed medical collaboration. However, to provide good telemedicine services through new technologies such as cloud computing, cloud storage, and so on, a suitable and adaptable framework should be designed. Moreover, in the chain of medical information exchange, between requesting agencies, including physicians, a secure and collaborative platform enhanced the decision-making process. This paper provides an in-depth literature review on the interaction that telemedicine has with cloud-based computing. On the other hand, the paper proposes a framework that can allow various research organizations, healthcare sectors, and government agencies to log data, develop collaborative analysis, and support decision-making. The electrocardiogram (ECG) and electroencephalogram EEG case studies demonstrate the benefit of the proposed approach in data reduction and high-fidelity signal processing to a local level; this can make possible the extracted characteristic features to be communicated to the cloud database.

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Section: Eeg Monitoringmentioning

confidence: 99%

Collaborative systems for telemedicine diagnosis accuracy

et al. 2021

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“…New signal processing techniques have been proposed continuously in recent years. Benefiting from Fourier transform, signal processing techniques have been extended to the frequency domain and are widely used in fault diagnosis [9]. However, the Fourier transform does not have temporal resolution and usually analyses signals at the global level, so it is not applicable in every case, especially when local features of the signal need to be analyzed.…”

Section: Introductionmentioning

confidence: 99%

Research on Noise Reduction Method for Leakage Signal of Water Supply Pipeline

Jiang,

Wang,

Yang

et al. 2024

IEEE Access

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The negative pressure wave (NPW) signal caused by leakage of water supply pipeline contains a lot of noise due to the influence of water flow state and circuit noise, which will adversely affect the accuracy of leakage detection and leak location. To solve this problem, a novel pipeline pressure signal denoising method based on variational mode decomposition (VMD) is proposed in the paper. Firstly, the key parameters which affect the performance of VMD method: IMFs K and penalty factor α are optimized by genetic algorithm (GA) without prior knowledge. At the same time, different parameters are combined to form different reconstructed signals based on the correlation coefficient (CC). Secondly, the optimal combination of parameters is adaptively determined by using a fitness evaluation function based on the information entropy (IE). Thirdly, based on the optimal parameter combination, reconstruct the signal to achieve noise reduction. Finally, the denoised signal will be used for leak detection and leak location calculation. In order to verify the effectiveness of the proposed method, simulation analysis and laboratory experiments are carried out. Simulation analysis results show that the noise suppression effect of our method is better than that of wavelet, empirical mode decomposition (EMD) and VMD. The highest SNR obtained by our method is 16.187. The laboratory experiment results showed that the NPW signal denoised by proposed method had less error and more stable results in location, with an average relative error of 2.97%.

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“…workers from risks, such as COVID-19 infection [5] or toxic gas/water leaks [6]. In this context, mobile robots designed for the automotive sector can be used to perform inspections and monitoring and to work as remote actuators [7].…”

Section: Introductionmentioning

confidence: 99%

Sensors-based mobile robot for harsh environments: functionalities, energy consumption analysis and characterization

et al. 2021

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Mobile robots and rovers play an important role in many industrial applications. Under certain constraints, they are suitable in harsh environments and conditions in which protracted human activity is not safe or permitted. In many circumstances, mechanical aspects and electrical consumption need to be optimized for autonomous and wheeled mobile robots. The paper illustrates the design of a semi-custom wheeled mobile robot with high-efficiency mono- or polycrystalline photovoltaic panel on the roof that supports the lithium ion batteries during particular tasks (e.g. navigating rough terrain, obstacles or steep paths) to extend the robot’s autonomy. An electronic controller was designed, and data acquisition related to power consumption performed using a specific experimental setup. The robot can detect parameters such as temperature, humidity, concentrations of toxic gas species and the presence of flames, making it particularly suitable for contaminated environments or industrial plants. For this aim, the mobile robot was equipped with a wide range of commercial sensors and a Global Positioning System receiver to track its position. In addition, using an HC-06 Bluetooth transceiver, the robot receives commands and instructions, and sends the acquired data to the developed IoTool smartphone application, where they are displayed to be analysed by user.

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Leak Detection in Waterworks: Comparison Between STFT and FFT with an Overcoming of Limitations

Cited by 8 publications

References 9 publications

Collaborative systems for telemedicine diagnosis accuracy

Collaborative systems for telemedicine diagnosis accuracy

Research on Noise Reduction Method for Leakage Signal of Water Supply Pipeline

Sensors-based mobile robot for harsh environments: functionalities, energy consumption analysis and characterization

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