Application of L-moments for regional frequency analysis of maximum  monthly rainfall in West Bengal, India

Majumder, A.; Patil, S. R.; Noman, Md.; Biswas, Surajit Kumar

doi:10.54302/mausam.v66i2.536

Cited by 2 publications

(2 citation statements)

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“…As a sparsity index, the Gini coefficient is sensitive not only to periodic pulses, but also to harmonic interference, which limits its wide application. L-kurtosis (LK) is an improved signal evaluation index developed by introducing the definition of L-moments to kurtosis [41]. Compared to kurtosis, LK is more robust to accidental pulses and less disturbed by harmonics than the Gini coefficient.…”

Section: The Signal Evaluation Index Cpimentioning

confidence: 99%

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Spectral-coherence guided variational mode extraction and its application in rolling bearing fault diagnosis

Sun¹,

Zhang²,

Pang³

et al. 2022

Meas. Sci. Technol.

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Variational mode extraction (VME), inspired by variational mode decomposition (VMD), is a novel fault diagnosis technique that can efficiently extract narrowband modes from multi-component signals. Compared with VMD, VME is more accurate and faster when extracting the narrowband component. However, the preset center frequency ω c and balance factor α seriously affect the performance of VME. Therefore, a spectral-coherence guided variational mode extraction (SCVME), capable of determining the hyper-parameters automatically, is proposed for fault diagnosis of rolling bearings. First, considering the advantages of spectral coherence (SCoh) for characterizing the cyclostationarity of bearing faults, its energy spectrum is further constructed. The energy spectrum of SCoh can intuitively reveal the fault information energy hidden in each frequency, which provides sufficient support for the determination of the center frequency ω c . Subsequently, a novel signal evaluation index named cyclic pulse intensity (CPI) is proposed to adaptively optimize the balance factor α. It has been verified that the proposed CPI index is superior to these common metrics, including kurtosis, spectral kurtosis (SK) and l2/l1 norm, in identifying periodic pulses. Finally, the modes containing fault information are accurately extracted by VME according to the optimal parameters (ω c , α). The effectiveness of the proposed method has been demonstrated by the simulations and experiments analysis. In addition, comparisons with the VMD and Autogram methods are carried out to highlight the superiority of the SCVME method.

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Section: The Signal Evaluation Index Cpimentioning

confidence: 99%

“…where LK(•) represents the L-kurtosis operator, a(t) is the Hilbert envelope signal of x(t) and E x (n) denotes the square of the Hilbert envelope spectrum of x(t). For further information on LK, please refer to [41].…”

Section: The Signal Evaluation Index Cpimentioning

confidence: 99%

Spectral-coherence guided variational mode extraction and its application in rolling bearing fault diagnosis

Sun¹,

Zhang²,

Pang³

et al. 2022

Meas. Sci. Technol.

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Towards sustainable precipitation management in Madurai Town Planning Area (India)

Thiruchelve,

Chandran,

Irannezhad

et al. 2024

Discov Sustain

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This study aimed to look for efficient development strategies towards achieving sustainable precipitation management in the Madurai Town Planning Area (MTPA) in India. In the MTPA, precipitation is the predominant source of freshwater for agricultural and domestic uses in addition to water received through conventional systems. The average annual precipitation in the region is ~ 816 mm with standard deviation of 233 mm. The regression analysis showed that annual precipitation is following a decreasing trend and will be about 716 mm by 2030. The Precipitation Concentration Index (PCI) values ranging from 18 to 20 represented strong irregularities and seasonality in annual precipitation over the study area. March, July, September, and November months contributed 2.5, 6.19, 14, and 16% to annual precipitation, respectively, and all showed decreasing trends over time. Only 20% of Northeast monsoon was active over the past 44 years (1976–2019), resulting in a 15% probability of flood and drought occurrences throughout the MTPA. The long-term (1976–2019) average value of annual precipitation days was about 42. The Concentration Index (CI) showed that 60–70% of precipitation was received within 25% of precipitable days. Daily precipitation class of moderate (7.5–34 mm) and rather heavy (34–64 mm) ranges were the dominant types of precipitation, contributing 46% and 26% to total annual precipitation, respectively. Except for October, the monthly precipitation received was deficit to meet the irrigation water demand in the MTPA. However, development of precipitation harvesting systems can annually preserve about 27 Mm3 freshwater in the urban space of the MTPA.

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Application of L-moments for regional frequency analysis of maximum monthly rainfall in West Bengal, India

Cited by 2 publications

References 0 publications

Spectral-coherence guided variational mode extraction and its application in rolling bearing fault diagnosis

Spectral-coherence guided variational mode extraction and its application in rolling bearing fault diagnosis

Towards sustainable precipitation management in Madurai Town Planning Area (India)

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