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Anand, G.
- Fuzzy Inference Based Leak Estimation in Water Pipelines System
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1 Department of Instrumentation Engineering, Anna University, Chennai, IN
1 Department of Instrumentation Engineering, Anna University, Chennai, IN
Source
ICTACT Journal on Soft Computing, Vol 5, No 2 (2015), Pagination: 879-888Abstract
Pipeline networks are the most widely used mode for transporting fluids and gases around the world. Leakage in this pipeline causes harmful effects when the flowing fluid/gas is hazardous. Hence the detection of leak becomes essential to avoid/minimize such undesirable effects. This paper presents the leak detection by spectral analysis methods in a laboratory pipeline system. Transient in the pressure signal in the pipeline is created by opening and closing the exit valve. These pressure variations are captured and power spectrum is obtained by using Fast Fourier Transform (FFT) method and Filter Diagonalization Method (FDM). The leaks at various positions are simulated and located using these methods and the results are compared. In order to determine the quantity of leak a 2 × 1 fuzzy inference system is created using the upstream and downstream pressure as input and the leak size as the output. Thus a complete leak detection, localization and quantification are done by using only the pressure variations in the pipeline.Keywords
Pipeline Detection, Spectral Analysis, FFT, FDM, Fuzzy Inference System (FIS).- Genotype x Environment Interaction and Stability Analysis for Fruit Yield and Quality Traits in Pineapple (Ananas comosus)
Abstract Views :217 |
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Authors
Affiliations
1 ICAR-Krishi Vigyan Kendra, Thirupathisaram (T.N.), IN
2 Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Madurai (T.N.), IN
3 Department of Fruits, Horticultural College and Research Institute, Periyakulam (T.N.), IN
1 ICAR-Krishi Vigyan Kendra, Thirupathisaram (T.N.), IN
2 Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Madurai (T.N.), IN
3 Department of Fruits, Horticultural College and Research Institute, Periyakulam (T.N.), IN
Source
The Asian Journal of Horticulture, Vol 12, No 1 (2017), Pagination: 79-83Abstract
The present study was conducted to assess the existence of genotype × environmental (G × E) interactions and stability for yield and quality related traits in pineapple using four varieties over seven locations during the year 2012-13. Pooled analysis of variance over seven locations revealed that the genotypic variances were highly significant for all the characters which revealed considerable genetic variability in the population. Stability parameters revealed that the genotype 'Amritha' was found better under poor environments. 'Mauritius' and 'Amritha' showed stable and consistent performance for all quantitative and qualitative traits whereas, 'Mauritius' had above average response and high stability in better environments for yield only. Thus, genotypes 'Amritha' and 'Mauritius' may be utilized in hybrid breeding programme to exploit their consistent performance in all order of yield.Keywords
Genotype x Environment Interaction, Stability, Quality, Yield.References
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