Early Failure Detection Model for Water Mains Due to Seasonal Climatic Impacts

Author(s):  
F. Friedl ◽  
S. Schrotter ◽  
B. Kogseder ◽  
D. Fuch-Hanusch
2021 ◽  
pp. bmjsrh-2021-201064
Author(s):  
Melanie Atkinson ◽  
Gareth James ◽  
Katie Bond ◽  
Zoe Harcombe ◽  
Michel Labrecque

BackgroundVasectomy occlusive success is defined by the recommendation of ‘clearance’ to stop other contraception, and is elicited by post-vasectomy semen analysis (PVSA). We evaluated how the choice of either a postal or non-postal PVSA submission strategy was associated with compliance to PVSA and effectiveness of vasectomy.MethodsWe studied vasectomies performed in the UK from 2008 to 2019, reported in annual audits by Association of Surgeons in Primary Care members. We calculated the difference between the two strategies for compliance with PVSA, and early and late vasectomy failure. We determined compliance by adding the numbers of men with early failure and those given clearance. We performed stratified analyses by the number of test guidance for clearance (one-test/two-test) and the study period (2008–2013/2014–2019).ResultsAmong 58 900 vasectomised men, 32 708 (56%) and 26 192 (44%) were advised submission by postal and non-postal strategies, respectively. Compliance with postal (79.5%) was significantly greater than with non-postal strategy (59.1%), the difference being 20.4% (95% CI 19.7% to 21.2%). In compliant patients, overall early failure detection was lower with postal (0.73%) than with non-postal (0.94%) strategy (−0.22%, 95% CI −0.41% to −0.04%), but this difference was neither clinically nor statistically significant with one-test guidance in 2014–2019. There was no difference in late failure rates.ConclusionsPostal strategy significantly increased compliance to PVSA with similar failure detection rates. This resulted in more individuals receiving clearance or early failure because of the greater percentage of postal samples submitted. Postal strategy warrants inclusion in any future guidelines as a reliable and convenient option.


1991 ◽  
Vol 24 (6) ◽  
pp. 383-390
Author(s):  
J. Bokor ◽  
A. Edelmayer ◽  
A. Soumelidis ◽  
M. Tanyi ◽  
P. Gáspár ◽  
...  

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 308 ◽  
Author(s):  
Varaha Satya Bharath Kurukuru ◽  
Frede Blaabjerg ◽  
Mohammed Ali Khan ◽  
Ahteshamul Haque

Photovoltaic (PV) energy has become one of the main sources of renewable energy and is currently the fastest-growing energy technology. As PV energy continues to grow in importance, the investigation of the faults and degradation of PV systems is crucial for better stability and performance of electrical systems. In this work, a fault classification algorithm is proposed to achieve accurate and early failure detection in PV systems. The analysis is carried out considering the feature extraction capabilities of the wavelet transform and classification attributes of radial basis function networks (RBFNs). In order to improve the performance of the proposed classifier, the dynamic fusion of kernels is performed. The performance of the proposed technique is tested on a 1 kW single-phase stand-alone PV system, which depicted a 100% training efficiency under 13 s and 97% testing efficiency under 0.2 s, which is better than the techniques in the literature. The obtained results indicate that the developed method can effectively detect faults with low misclassification.


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