CORD - Cranfield University research data
Permanent URI for this community
In order to deposit your data, you will need to log in to this Deposit form.
Browse
Browsing CORD - Cranfield University research data by Author "Addepalli, Pavan"
Now showing 1 - 7 of 7
Results Per Page
Sort Options
Item Open Access Data for the paper "Pattern Recognition of Barely Visible Impact Damage in Carbon Composites using Pulsed Thermography"(Cranfield University, 2021-12-14 10:50) Zhao, Yifan; Addepalli, PavanPlease find the attachment.Item Open Access Data for: The Spatial Resolution Enhancement for a Thermogram Enabled by Controlled Sub-pixel Movements(Cranfield University, 2019-08-14 15:13) Zhao, Yifan; Dai, Weixiang; Addepalli, PavanThe measurement accuracy and reliability of thermography is largely limited by a relatively low spatial resolution of the thermal imager. Using a high-end camera to achieve high spatial resolution can be costly or infeasible due to a high sample rate required. Furthermore, the system miniaturisation becomes an inevitable trend with the continuous development of Internet of Things and their suitability to in-situ inspection scenarios. However, a miniaturised sensor usually suffers a low spatial resolution. Addressing this challenge, the paper reports a novel Spatial Resolution Enhancement for a Thermogram (SRE4T) system to significantly improve the spatial resolution without upgrading the sensor. A high-resolution thermal image is reconstructed by fusing a sequence of low-resolution images with sub-pixel movements. To achieve the best image quality, instead of benefiting from natural movements of existing studies, this paper proposes to use a high-resolution xy translation stage to produce a sequence of controlled sub-pixel movements. The performance of the proposed system was tested on both high-end and low-end thermal imagers. Both visual and quantitative results successfully demonstrated the considerable improvement of the quality of thermal images (up to 30.5% improvement of peak signal to noise ratio). This technique allows improving the measurement accuracy of thermography inspection without upgrading sensors. It also has the potential to be applied on other imaging systems.Item Open Access Data relating to: "An uncertainty quantification and aggregation framework for system performance assessment in industrial maintenance" (2020)(Cranfield University, 2021-02-03 11:26) Grenyer, Alex; ahmet Erkoyuncu, John; Addepalli, Pavan; Zhao, YifanExcel file corresponding to data in conference paper - tables summarising variables used in the paper, calculated in MATLABImages: Figures 1-4 as in conference paperPowerPoint presentationPublished paperItem Open Access Data relating to: "Compound uncertainty quantification and aggregation (CUQA) for reliability measurement in industrial maintenance" (2021)(Cranfield University, 2023-05-24 11:00) Grenyer, Alex; ahmet Erkoyuncu, John; Addepalli, Pavan; Zhao, YifanTables summarising variables used, calculated in MATLAB Images: Figures 1-4 as in the manuscript README.txt Excel file corresponding to data in the manuscriptItem Open Access Data relating to: "Identifying challenges in quantifying uncertainty: case study in infrared thermography" (2018)(Cranfield University, 2020-03-11 08:24) Grenyer, Alex; Addepalli, Pavan; Zhao, Yifan; Oakey, Luke; ahmet Erkoyuncu, John; Roy, RajkumarExcel file corresponding to data in conference paper:'Paper tables' tab contains summary of variables used in the paper, calculated using MATLAB 'Conditions' tab contains recorded temperatures and humidity for each run read by MATLAB 'Readings' tab collates reading values for each run read by MATLAB'Run1-10' tabs contain data recorded for each run including ROI size and locationPowerPoint file: Conference presentationItem Open Access ECBS Additional Information - Blue 1(Cranfield University, 2022-09-07 15:58) Addepalli, PavanAdditional documentation supporting EMBA assignment ECBSItem Open Access 'Quantifying uncertainty in pulsed thermography inspection by analysing the thermal diffusivity measurements of metals and composites - Dataset to reconstruct the results presented in the paper'(Cranfield University, 2021-08-14 10:40) Addepalli, Pavan; Zhao, Yifan; ahmet Erkoyuncu, John; Roy, Rajkumar'This is the underlying dataset for the paper based on which uncertainty quantification was carried out.'