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99237 Data Warehouse & Data Mining Techniques for Airfi-ame Corrosion Control

Picture for 99237 Data Warehouse & Data Mining Techniques
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Product Number: 51300-99237-SG
ISBN: 99237 1999 CP
Author: Randy E. Raley, P. E., Morgan C. Wang
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The Solid Rocket Boosters of the Space Shuttle have very unique and critical requirements as airframe structures. They support the entire shuttle stack, absorb stresses of main engine st@ experience water impact at greater than 60 miles per hour, and remain immersed in salt water for approximately 48 hours. In addition, the maintenance and deployment of the hardware takes place in a seacoast environment. In order to maintain the integrity of the hardware, inspections are performed on the entire structure after each flight to locate corrosion for remediation and analysis. The data for these inspections has been kept graphically on paper and descriptively on standard spreadsheet software. This paper describes the development of a data warehouse that will be used to facilitate inspections through a graphical interface, store all the data in flexible format and allow the mining of the data for new information on the structure. Specifically, the software will be used to identify areas where the corrosion protection design is deficient, monitor the effect of changes to the corrosion protection system, and trend the darnage accumulation for life prediction. This is the fust phase of implementation of a data warehouse on the structures. Work is also in progress to allow the inclusion of maintenance history, problem reports, materials process and traceability data, and to support the structural analysis of the hardware. The ultimate driver of this effort is increased system reliability by the transformation of currently available data, using data mining techniques, into information, which can be used to make better resource management decisions. Keyword Aerospace, Data Warehouse, Data Mining, and Corrosion Control.
The Solid Rocket Boosters of the Space Shuttle have very unique and critical requirements as airframe structures. They support the entire shuttle stack, absorb stresses of main engine st@ experience water impact at greater than 60 miles per hour, and remain immersed in salt water for approximately 48 hours. In addition, the maintenance and deployment of the hardware takes place in a seacoast environment. In order to maintain the integrity of the hardware, inspections are performed on the entire structure after each flight to locate corrosion for remediation and analysis. The data for these inspections has been kept graphically on paper and descriptively on standard spreadsheet software. This paper describes the development of a data warehouse that will be used to facilitate inspections through a graphical interface, store all the data in flexible format and allow the mining of the data for new information on the structure. Specifically, the software will be used to identify areas where the corrosion protection design is deficient, monitor the effect of changes to the corrosion protection system, and trend the darnage accumulation for life prediction. This is the fust phase of implementation of a data warehouse on the structures. Work is also in progress to allow the inclusion of maintenance history, problem reports, materials process and traceability data, and to support the structural analysis of the hardware. The ultimate driver of this effort is increased system reliability by the transformation of currently available data, using data mining techniques, into information, which can be used to make better resource management decisions. Keyword Aerospace, Data Warehouse, Data Mining, and Corrosion Control.
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