scholarly journals THE DEVELOPMENT AND INVESTIGATION ANALYSIS OF AN ARX-BASED GENERALIZED LIKELIHOOD RATIO (GLR) STICTION DETECTION METHOD

2018 ◽  
Vol 80 (4) ◽  
Author(s):  
Nur Amalina Shairah Abdul Samat ◽  
Haslinda Zabiri ◽  
Bashariah Kamaruddin
Keyword(s):  
Case Studies ◽  
Likelihood Ratio ◽  
Null Hypothesis ◽  
Detection Method ◽  
Detection Methods ◽  
Statistical Hypothesis ◽  
Decision Threshold ◽  
Statistical Hypothesis Testing ◽  
Generalized Likelihood Ratio ◽  
Significance Level

Control valve stiction is one of the main sources of nonlinearity which can result in many deleterious effects on the control loop performance of a process. The study of stiction detection methods has now becoming one of the essential research areas in process control. In this present work, an ARX-based Generalized Likelihood Ratio (GLR) stiction detection method is proposed and its effectiveness is analyzed. The implementation of the proposed method involves three main stages; 1) ARX model identification, 2) GLR test, and 3) statistical hypothesis testing. The proposed detection method was applied to two benchmark simulated case studies. Results showed that the method effectively detect stiction. The presence of stiction is declared if the GLR test statistics,  exceeds the decision threshold limit, , and the null hypothesis is rejected at 5% significance level. On the other hand, if  value lies below , the null hypothesis is accepted and the absence of stiction is confirmed. In addition, it is also observed that the proposed method is reasonably insensitive and robust to the changes in the process gain,  and time constant,  as it generally allows up to ±10% changes in the two parameters for both case studies.

Fault Detection in Linear Discrete Dynamic Systems by a Pattern Recognition of a Generalized-Likelihood-Ratio

1990 ◽  
Vol 112 (2) ◽  
pp. 276-282 ◽  
Author(s):  
S. Tanaka ◽  
P. C. Mu¨ller
Keyword(s):  
Pattern Recognition ◽  
Likelihood Ratio ◽  
Dynamic Systems ◽  
Abrupt Change ◽  
Detection Method ◽  
Discrete Dynamical System ◽  
Generalized Likelihood Ratio ◽  
Robust Detection ◽  
Chi Squared ◽  
Discrete Dynamic Systems

The detection of an abrupt change in the parameters of a linear discrete dynamical system is considered in the framework of the easily implemented generalized-likelihood-ratio (GLR) method. This paper proposes a robust detection method based on a pattern recognition of the maximum GLR provided by the conventional step-hypothesized GLR method. A numerical example demonstrates that the proposed method is highly superior to the conventional step-hypothesized GLR method and to the Chi-squared test in both detection rate and detection speed.

Object Detection Method Based on Generalized Likelihood Ratio Tests Method in Photon Images

2010 ◽  
Vol 30 (1) ◽  
pp. 91-96
Author(s):  
赵磊 Zhao Lei ◽  
俞信 Yu Xin ◽  
陈翼男 Chen Yi′nan ◽  
阎吉祥 Yan Jixiang
Keyword(s):  
Object Detection ◽  
Likelihood Ratio ◽  
Detection Method ◽  
Likelihood Ratio Tests ◽  
Generalized Likelihood Ratio

scholarly journals Outlier Diagnostic in Geodetic Intersection

2014 ◽  
Vol 10 (2) ◽  
pp. 61-65
Author(s):  
Jana Ižvoltová ◽  
Vladimír Koťka
Keyword(s):  
Hypothesis Testing ◽  
Outlier Detection ◽  
Detection Method ◽  
Extreme Values ◽  
Critical Value ◽  
Statistical Hypothesis ◽  
Statistical Hypothesis Testing ◽  
Intersection Method

Abstract Residuals are differences between observed and predicted variables. This paper describes outlier detection method with using studentized internal and external residuals, which was applied to find extreme values in dataset that comes from the planar intersection method. The detected outlier is analysed by the statistical hypothesis testing, where critical value is defined as a quantil of Studentized distribution.

A zero-velocity detection method with transformation on generalized likelihood ratio statistical curve

Measurement ◽  
2018 ◽  
Vol 127 ◽  
pp. 463-471 ◽  
Author(s):  
Xixiang Liu ◽  
Songbing Wang ◽  
Tongwei Zhang ◽  
Rong Huang ◽  
Qiming Wang
Keyword(s):  
Likelihood Ratio ◽  
Detection Method ◽  
Generalized Likelihood Ratio ◽  
Zero Velocity

scholarly journals Unsupervised Change Detection Driven by Floating References: A Pattern Analysis Approach

2021 ◽  
Author(s):  
RG Negri ◽  
Alejandro Frery
Keyword(s):  
Remote Sensing ◽  
Change Detection ◽  
Pattern Analysis ◽  
Detection Method ◽  
Simulated Data ◽  
Detection Methods ◽  
Practical Significance ◽  
Significance Level ◽  
Natural Factors ◽  
Better Than

© 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd. part of Springer Nature. The Earth’s environment is continually changing due to both human and natural factors. Timely identification of the location and kind of change is of paramount importance in several areas of application. Because of that, remote sensing change detection is a topic of great interest. The development of precise change detection methods is a constant challenge. This study introduces a novel unsupervised change detection method based on data clustering and optimization. The proposal is less dependent on radiometric normalization than classical approaches. We carried experiments with remote sensing images and simulated datasets to compare the proposed method with other unsupervised well-known techniques. At its best, the proposal improves by 50% the accuracy concerning the second best technique. Such improvement is most noticeable with uncalibrated data. Experiments with simulated data reveal that the proposal is better than all other compared methods at any practical significance level. The results show the potential of the proposed method.

scholarly journals Unsupervised Change Detection Driven by Floating References: A Pattern Analysis Approach

2021 ◽  
Author(s):  
RG Negri ◽  
Alejandro Frery
Keyword(s):  
Remote Sensing ◽  
Change Detection ◽  
Pattern Analysis ◽  
Detection Method ◽  
Simulated Data ◽  
Detection Methods ◽  
Practical Significance ◽  
Significance Level ◽  
Natural Factors ◽  
Better Than

© 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd. part of Springer Nature. The Earth’s environment is continually changing due to both human and natural factors. Timely identification of the location and kind of change is of paramount importance in several areas of application. Because of that, remote sensing change detection is a topic of great interest. The development of precise change detection methods is a constant challenge. This study introduces a novel unsupervised change detection method based on data clustering and optimization. The proposal is less dependent on radiometric normalization than classical approaches. We carried experiments with remote sensing images and simulated datasets to compare the proposed method with other unsupervised well-known techniques. At its best, the proposal improves by 50% the accuracy concerning the second best technique. Such improvement is most noticeable with uncalibrated data. Experiments with simulated data reveal that the proposal is better than all other compared methods at any practical significance level. The results show the potential of the proposed method.

scholarly journals The Effect of the Australasian Parliamentary Debate Technique on Students’ Argumentative Speaking Ability

2020 ◽  
Vol 7 (1) ◽  
pp. 48-62
Author(s):  
Intan Qomariah ◽  
Syauki Syauki ◽  
Zaharil Anasy
Keyword(s):  
English Education ◽  
Statistical Hypothesis ◽  
Control Group ◽  
Statistical Hypothesis Testing ◽  
Significance Level ◽  
Parliamentary Debate ◽  
Quasi Experimental ◽  
Convenience Sampling ◽  
Academic Year ◽  
Positive Effect

ABSTRACTThe goal of this research was to investigate whether the use of the Australasian Parliamentary Debate had an impact on students’ argumentative speaking ability. The method was quantitative with a quasi-experimental design, and the participants of this research were SMAN 29 Jakarta 10th grade social students in the academic year 2017/2018. They were X IIS 2 as the experimental group and X IIS 3 as the control group, consisting of 32 students for each group. Convenience sampling was used to select the participants for this research, and the data were collected using an oral test. The argumentative speaking rubric was used to assess the students’ argumentative speaking ability in the pre- and post-tests. The results of statistical hypothesis testing, using independent sample t-test, found that the t-value was 2.23 on the significance level of 5 percent (α = 0.05), whereas the t table was 1.99 or tobserve > t table. H0 was therefore rejected and Ha was accepted. This finding shows that the use of the Australasian Parliamentary Debate has a positive effect on students’ ability to speak argumentatively.ABSTRAKTujuan dari penelitian ini adalah untuk menginvestigasi apakah penggunaan the Australalasian Parliamentary Debate memiliki pengaruh positif terhadap kemampuan berbicara argumentatif siswa. Metode yang digunakan adalah kuantitatif dengan quasi-experimental sebagai desain penelitian. Partisipan peneliatian adalah siswa SMAN 29 Jakarta kelas X IPS di tahun akademik 2017/2018. Mereka adalah X IIS 2 sebagai kelas eksperimen dan X IIS 3 sebagai kelas kontrol yang masing-masing kelas terdiri dari 32 siswa. Convenience sampling adalah teknik pengambilan sampel yang digunakan untuk pengumpulan data. Instrumen dalam penelitian ini menggunakan tes lisan dengan rubrik berbicara argumentatif untuk menguji kemampuan argumentasi siswa pada pretest dan posttest. Hasil dari tes hipotesis statistika menggunakan uji T- sampel independen menunjukkan bahwa pada degree of significance 5% % (α = 0.05), tvalue sebesar 2.23 sementara t table sebesar 1.99 atau tobserve > t table. Maka dari itu, H0 ditolak dan Ha diterima. Hal ini membuktikan adanya pengaruh positif penggunaan teknik the Australasian Parliamentary Debate pada kemampuan berbicara argumentatif siswa.  How to Cite: Qomariah, I., Syauki, Anasy, Z., E.F. (2020). The Effect of the Australasian Parliamentary Debate Technique on Students’ Argumentative Speaking Ability. IJEE (Indonesian Journal of English Education), 7(1), 48-62. doi:10.15408/ijee.v7i1.16973

scholarly journals Possibility Measure of Accepting Statistical Hypothesis

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 551
Author(s):  
Jung-Lin Hung ◽  
Cheng-Che Chen ◽  
Chun-Mei Lai
Keyword(s):  
Hypothesis Testing ◽  
Null Hypothesis ◽  
Alternative Hypothesis ◽  
Statistical Testing ◽  
Statistical Hypothesis ◽  
Statistical Hypothesis Testing ◽  
Test Statistic ◽  
Possibility Measure ◽  
Testing Approach ◽  
Hypothesis Testing Approach

Taking advantage of the possibility of fuzzy test statistic falling in the rejection region, a statistical hypothesis testing approach for fuzzy data is proposed in this study. In contrast to classical statistical testing, which yields a binary decision to reject or to accept a null hypothesis, the proposed approach is to determine the possibility of accepting a null hypothesis (or alternative hypothesis). When data are crisp, the proposed approach reduces to the classical hypothesis testing approach.

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