International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California / The Interactive Analysis and Display System (IADS) provides the structures flight test engineer with enhanced test-data processing, management, and display capabilities necessary to perform safety critical aircraft analysis in near real time during a flight test mission. Germane to hazardous, fast-paced flight test programs is a need for enhanced situational awareness in the Mission Control Room (MCR). The IADS provides an enhanced situational awareness by providing an analysis and display capability designed to enhance the confidence of the engineer in making clearance decisions within the MCR environment. The IADS will allow the engineer to achieve this confidence level by providing a real-time display capability along with a simultaneous near real-time processing capability consisting of both time domain and frequency domain analyses. The system provides for displaying real-time data while performing interactive and automated near real-time analyses. The system also alerts the engineer when displayed and non-displayed parameters exceed predefined threshold limits. Both real-time data and results created in near real-time may be compared to predicted data on workstations to enhance the user’s confidence in making point-to-point clearance decisions. The IADS also provides a post-flight capability at the engineers project area desktop. Having a user interface that is common with the real-time system, the post-flight IADS provides all of the capabilities of the real-time IADS plus additional data storage and data organization to allow the engineer to perform structural analysis with test data from the complete test program. This paper discusses the system overview and capabilities of the IADS.

International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada / The Interactive Analysis and Display System (IADS) provides the structures flight test engineer with enhanced test-data processing, management and display capabilities necessary to perform safety critical aircraft analysis in near real-time during a flight test mission. The IADS provides enhanced situational awareness through an analysis and display capability designed to increase the confidence of the engineer in making clearance decisions within the Mission control Room (MCR) environment. The engineer achieves this confidence level through IADS’ real-time display capability and simultaneous near real-time processing capability consisting of both time domain and frequency domain analyses. The system displays real-time data while performing interactive and automated near real-time analyses; alerting the engineer when displayed parameters exceed predefined threshold limits. Real-time data and results created in near real-time may be compared to previous flight test data to enhance the user’s confidence in making point-to-point clearance decisions. The IADS provides a post flight capability at the engineer’s project area desktop, with a user interface common with the real-time system. The post flight IADS provides all of the capabilities of the real-time IADS with additional data access and data organization, allowing the engineer to perform structural analysis with test data from the each flight and compile summary plots and tables over the most of the test program. The IADS promotes teamwork by allowing the engineers to share data and test results during a mission and in the post flight environment. This paper discusses the system overview and capabilities of the IADS.

published_or_final_version / abstract / Computer Science / Master / Master of Philosophy

published_or_final_version / Applied Geosciences / Master / Master of Science

This report is the proof of concept that shows how Coded UI can be used for the automation of GUI tests. For this thesis-work, an industrial case study is done on 26 different test cases provided at the company Basalt AB. The problem they had was that testing was very time consuming and was therefore not done as often as needed to keep the level of quality required for the system developed. The method that has been used are called the validation method and the work was according to that divided into five steps: choosing test cases, a learning process, implementation, compare the results and then draw conclusions. Test automation has benefits of time savings and the fact that tests will be reused. Testing will take minutes instead of hours and the tests can be executed over and over again as many times as needed. So by changing from manual testing to automated testing, tests can be run faster and therefore more often. The investment of automated testing will be repaid before the end of the fourth test round. So conclusions can be drawn from the results of this thesis and it shows that it absolutely is worth the investment of automating the testing process.

A leak-off test is one of the most common procedures to test the fracture pressure of the exposed formations. After cementing and drilling out of the casing shoe, the LOT is run to verify that the casing, cement, and formation can withstand the pressure needed to safely drill the next section of the well. The equivalent mud weight obtained from the test is recorded and reported to government agencies as the strength of the casing shoe. Drilling engineers also rely on the reading from the LOT and use it as the maximum pressure that may be imposed on the formation to avoid fracturing. Exceeding the maximum pressure may result in serious consequences such as lost circulation, one of the most costly events in drilling operations. Therefore, accurate determination of formation fracture gradient is critical and can avoid a variety of well control problems. Considerable efforts to model LOT and leak-off behaviors have been done in the past. Altun (2001) and Paknejad (2007) each presented a unique method to estimate leak-off volume by dividing the pressurized system into four sub-systems: mud compression, casing expansion, fluid leakage, and borehole expansion. The volume response from each sub-system is then combined to represent the total volume pumped during a LOT. However, neither model included the expansion volumes of cement sheath and formation rock outside of the casing; these volumes are not trivial and should not be neglected. In addition, both models use only pump pressure to calculate volumes generated during a LOT. The actual downhole pressure and the pressure acting from the outside are ignored. In this study, the volume contributions from cement sheath expansion and formation rock expansion are calculated using single cylinder Lame’s equation. The results are added with Altun’s borehole expansion volume, mud compression volume, and fluid leakage volume to represent the total volume for the enhanced Altun model. Secondly, a Wider Windows mechanical expansion model is developed based on the concentric cylinder theory. This model simulates the compounded effect of casing, cement, and formation expansion along the cased hole based on pressures inside the wellbore and out in the far-field stress region. The volume generated from concentric cylinder expansion is then combined with Altun’s mud compression volume and fluid leakage volume to simulate the total volume pumped during a LOT. The developed models were verified using three sets of field LOT data obtained from literature and compared with the original Altun model. The results confirmed that leak-off volume along the cased hole should be analyzed as a compounded effect of casing, cement, and formation expansion. Overall, the WW models accurately simulate both leak-off volume and leak-off behaviors. / text

No description available.

The relationships between health, the scientific approach in medicine and concepts of epidemiology underlie theoretical and cultural attitudes of the nature of behavior and health risks. Medical tests that diagnose risk factors are thought to be predictive of disease. Physicians employ these tests to more accurately assess the health of their patients and convince their charges to change their behaviors. Communication of newly described risk factors is challenging for both physicians and patients as each party negotiates modifications of behavior and perceptions of reality.

No description available.

No description available.