Evaluation of Kolmogorov - Smirnov test for cooperative spectrum sensing in real channel conditions

Lekomtcev, Demian; Mars̆álek, Roman

doi:10.1109/telfor.2014.7034470

Cited by 4 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kolmogorov-smirnov model test.-K-S test is a commonly used method for model testing, which applies to small samples. [23][24][25][26][27] The test method is as follows: the reliability value calculated based on the median rank method is R , i and the expected reliability calculated by the fitting reliability function formula 13 is * R , It can be concluded from Table II that when the failure time t i is 1853 d, the K-S test statistic D has the maximum value D max = 0.0371. For a given confidence level α, if the value D max is smaller than a certain critical value Dc, the simulation model is accepted as an appropriate model.…”

Section: Application Of Weibull Theory In Reliability Analysismentioning

confidence: 99%

Research on State of Health for the Series Battery Module Based on the Weibull Distribution

Zhao¹,

Jiang²,

Chen³

et al. 2022

J. Electrochem. Soc.

View full text Add to dashboard Cite

The state of health (SOH) of a battery module is an important parameter in the battery management system. Accurately grasping the SOH of the battery module can provide the basis for its detection and diagnosis. Here, the series battery module SOH is taken as the research object. Based on the characteristics of the series battery module, a two-parameter Weibull distribution is selected as the module failure data distribution form and then the reliability function of the Weibull distribution is linearized and the module failure data is preprocessed. The least square method is used to identify the unknown parameters of the linear equation and to carry out correlation analysis and model verification. The result shows the correlation coefficient ρ_(X,Y)=0.9725, indicating that the variables X and Y are significantly correlated. The selected model is tested by the Kolmogorov-Smirnov (K-S) method, and the K-S test statistic D achieves the maximum value D_max=0.0371, which is much smaller than the Dc=0.301 obtained by checking the K-S D critical value table. In the reliability analysis, the failure data are evenly distributed on both sides of the reliability function, indicating that the selected model can well reflect the SOH transformation trend of the series battery module.

show abstract

Section: Application Of Weibull Theory In Reliability Analysismentioning

confidence: 99%

Research on State of Health for the Series Battery Module Based on the Weibull Distribution

Zhao¹,

Jiang²,

Chen³

et al. 2022

J. Electrochem. Soc.

View full text Add to dashboard Cite

show abstract

“…When selecting the best fit for input data, for each distribution type, BestFit first estimates parameters values using maximum‐likelihood estimators (MLEs) (Teimouri and Nadarajah, ; Asgharzadeh et al., ), then optimizes the parameters with the Levenberg–Marquardt method (Ueda and Yamashita, ), an algorithm that maximizes the goodness‐of‐fit between a data set and a distribution function. BestFit offers three goodness‐of‐fit tests: chi‐square (Adekpedjou et al., ), Kolmogorov–Smirnov (Wang et al., ; Lekomtcev et al., ), and Anderson–Darling (Coronel‐Brizio and Hernandez‐Montoya, ; Ashkar et al., ), and the function with the lowest goodness‐of‐fit values is considered as the best fit. In this article, chi‐square is adopted for goodness‐of‐fit measurement.…”

Section: Case Studymentioning

confidence: 99%

Probabilistic Risk Analysis of Diversion Tunnel Construction Simulation

Zhong

Ren

et al. 2017

Computer aided Civil Eng

View full text Add to dashboard Cite

Comprehensive and effective risk analysis is significant for studying construction simulation of diversion tunnel. Existing tunnel risk simulation approaches mainly analyze ordinary risk factors, and cannot quantitatively study risk events considering their causes. Additionally, in other tunnel probabilistic risk analysis methods, although some studies have made full probabilistic estimates of tunnel schedule, risk factors are unable to be studied considering cyclic construction characteristics and occurrence probability of risk events cannot be determined quantitatively. To address the issues, a probabilistic risk analysis approach of diversion tunnel construction simulation is proposed. Based on hierarchical simulation model, risk factors can be analyzed at operation level of tunnel construction. Moreover, Bayesian network is embedded into simulation program to quantitatively calculate probability of risk events in each simulation cycle, considering geology, design, construction, and management conditions and their mutual dependence.C 2017 Computer-Aided Civil and Infrastructure Engineering.

show abstract

“…The null hypothesis H 0 is assumed to be valid when the empirical and theoretical probability distributions are not statistically significantly different and the alternative hypothesis H 1 is assumed when these distribution are significantly different. First the empirical cumulative distribution function (CDF) of the received signal is calculated [3]. This function is defined by:…”

Section: B Kolmogorov-smirnov Testmentioning

confidence: 99%

“…A final decision on the presence of the PU is made by k out of M SUs and can be described by binomial distribution based on Bernoulli trials where each trial represents the decision process of each SU. The generalized formula for the probability of detection at the fusion center is given by [3]: (9) where P d,i and P fa,i are the probabilities of detection and false alarm respectively for each SU. In this paper three rules of the hard combination scheme are discussed.…”

Section: B Kolmogorov-smirnov Testmentioning

confidence: 99%

Matlab-based simulator of cooperative spectrum sensing in real channel conditions

Lekomtcev

Kasem

Mars̆álek

2015

2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)

Self Cite

View full text Add to dashboard Cite

This paper presents the developed MATLABbased simulation environment used to evaluate the cooperative spectrum sensing in the simulated channel conditions. Four different channel models can be set up between the primary user and individual secondary users: PedA, PedB, VehA and VehB models. Two types of detectors -the energy detector and the Kolmogorov-Smirnov-based statistical detector have been implemented and then used for the evaluation on the two types of transmitted signals -the analogue FM signal and the digital 8PSK signal. The simulator has also been used in order to demonstrate the effectiveness of the cooperative approach over the spectrum sensing via the single devices.

show abstract

Evaluation of Kolmogorov - Smirnov test for cooperative spectrum sensing in real channel conditions

Cited by 4 publications

References 8 publications

Research on State of Health for the Series Battery Module Based on the Weibull Distribution

Research on State of Health for the Series Battery Module Based on the Weibull Distribution

Probabilistic Risk Analysis of Diversion Tunnel Construction Simulation

Matlab-based simulator of cooperative spectrum sensing in real channel conditions

Contact Info

Product

Resources

About