Scaled Acoustics Experiments and Vibration Prediction Based Structural Health Monitoring

2008 ◽  
Author(s):  
Nesrin Sarigul-Klijn ◽  
Israel Lopez ◽  
Seung-Il Baek
Keyword(s):  
Health Monitoring ◽  
Dimensional Reduction ◽  
Structural Damage ◽  
Numerical Study ◽  
Damage Index ◽  
Time Frequency ◽  
Structural Health ◽  
Reduction Techniques ◽  
Vibration Prediction ◽  
Dimensional Reduction Techniques

Vibration and acoustic-based health monitoring techniques are presented to monitor structural health under dynamic environment. In order to extract damage sensitive features, linear and nonlinear dimensional reduction techniques are applied and compared. First, a vibration numerical study based on the damage index method is used to provide both location and severity of impact damage. Next, controlled scaled experimental measurements are taken to investigate the aeroacoustic properties of sub-scale wings under known damage conditions. The aeroacoustic nature of the flow field in and around generic aircraft wing damage is determined to characterize the physical mechanism of noise generated by the damage and its applicability to battle damage detection. Simulated battle damage is investigated using a baseline, and two damage models introduced; namely, (1) an undamaged wing as baseline, (2) chordwise-spanwise-partial-penetration (SCPP), and (3) spanwise-chordwise-full-penetration (SCFP). Dimensional reduction techniques are employed to extract time-frequency domain features, which can be used to detect the presence of structural damage. Results are given to illustrate effectiveness of this approach.

Effects of Dimensional Reduction Techniques on Structural Damage Assessment Under Uncertainty

2011 ◽  
Vol 133 (6) ◽  
Author(s):  
Israel Lopez ◽  
Nesrin Sarigul-Klijn
Keyword(s):  
Dimensional Reduction ◽  
Damage Assessment ◽  
Structural Damage ◽  
Principal Component ◽  
Index Method ◽  
Reduction Techniques ◽  
Structural Deterioration ◽  
Curvature Index ◽  
And Performance ◽  
Dimensional Reduction Techniques

In this paper, we present a study of dimensional reduction techniques for structural damage assessment of time-varying structures under uncertainty. Discrete tracking of the frequency response and the mode shape curvature index method is employed to perform damage assessment. Assessment of spontaneous damage in deteriorating structures is important as it can have potential benefits in improving their safety and performance. Most of the available damage assessment techniques incorporate the usage of system identification and classification techniques for detecting damage, location, and/or severity; however, much work is needed in the area of dimensional reduction in order to compress the ever-increasing data and facilitate decision-making in damage assessment classification. A comparison of dimensional reduction techniques is presented and evaluated in terms of separating damaged from undamaged data sets under two types of uncertainty, structural deterioration and environmental uncertainties. The use of a recursive principal component analysis for detecting and tracking structural deterioration and spontaneous damage is evaluated via computational simulations. The results of this study reveal that dimensional reduction techniques can greatly enhance structural damage assessment under uncertainties. This paper compares multiple dimensional reduction techniques by identifying their weaknesses and strengths.

Determinants of Internet Use by Senior Generation

2016 ◽  
Vol 12 (1) ◽  
pp. 63-82 ◽  
Author(s):  
Olfa Bouzaabia ◽  
Rym Bouzaabia ◽  
Alexandru Capatina
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Social Anxiety ◽  
Confirmatory Factor Analysis ◽  
Internet Use ◽  
Senior Citizens ◽  
Research Data ◽  
Cultural Backgrounds ◽  
Confirmatory Factor ◽  
Cognitive Age

The aim of this paper is to investigate and compare the determinants of Internet use by senior generation among Tunisian and Romanian context that have different economic and cultural backgrounds. Research data were taken from a survey carried out on 400 online senior citizens (200 Tunisian and 200 Romanian). Data were analyzed by using confirmatory factor analysis and multiple regression analysis. Results show that cognitive age, Familial Loneliness and Social Anxiety have a significant effect on internet use for surfing and seeking information and not for buying. It was also found in the Romania sample the most determinant of internet use was Familial loneliness, while, social Anxiety was the most determinant of internet use, in the Tunisian sample.

scholarly journals Implementasi Budaya THK dalam Pengaruh Komitmen OPD dan Partisipasi Masyarakat pada Akuntabilitas Pengelolaan Dana Desa

2019 ◽  
Vol 28 (3) ◽  
pp. 1715
Author(s):  
Ni Wayan Desi Putri Utari ◽  
I Ketut Sujana
Keyword(s):  
Regression Analysis ◽  
Community Participation ◽  
Sampling Method ◽  
Positive Influence ◽  
Research Data ◽  
Fund Management ◽  
Government Organizations ◽  
Village Government

This research aims to examine the implementation of Tri Hita Karana (THK) culture in moderating the influence of the commitment of village government organizations (OPD) and community participation on the accountability of village fund management in Kubu Sub-District, Karangasem Regency. The sampling method used is the census method. The respondents used were 36 people. Research data is analyzed using Moderated Regression Analysis (MRA). The results of the study indicate that OPD commitment and community participation gave a positive influence on the accountability of village fund management. The implementation of THK culture strengthens the influence of OPD commitment and community participation on the accountability of village fund management. Keywords : OPD commitment, Community participation, THK culture, Accountability.

scholarly journals Pengaruh Kualitas Layanan dan Kualitas Produk Terhadap Kepuasan Nasabah Bank

2020 ◽  
Vol 1 (02) ◽  
pp. 133-140
Author(s):  
Meli Andriyani ◽  
Riski Ardianto
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Product Quality ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Research Data ◽  
Positive Effect

The bank as a service company places great importance on satisfaction through services and products. The purpose of this study was to determine the effect of service quality and product quality on customer satisfaction. The research was conducted by distributing questionnaires to 100 respondents, namely bank customers who live and have bank accounts in the Cibubur area. The research data were analyzed using multiple linear regression analysis. The study found that service quality did not affect customer satisfaction, while product quality had a positive effect on customer satisfaction.

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