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Damage detection in a gearbox is reported based on analysis of vibration signals measured on a running aircraft engine on a test bed. The experiment was stopped due to material being found on the magnetic chip detectors in the oil system. Subsequent inspection found a significant damage to a bevel gear inside the drive train system. Three damage detection techniques are applied to the vibration signals: advanced demodulation, advanced residual technique, and the classical residual technique. Fault indicators are defined from each technique and trended over time. Results show that these techniques have the ability to provide early damage detection; however, with some noticeable difference in their feature evolution. The advantages of the techniques are compared and discussed.

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For almost a decade the OCDQ has proven to be one of the most “popular” instruments in research in educational administration. Developed by Halpin and Croft, the instrument claims to measure eight dimensions of a school's organizational climate. Such scores are then used to classify the school according to which one of six climate categories it belongs. Increasingly, the OCDQ is being subjected to closer scrutiny. Currently in the U.S.A. intense validation studies are in progress. This article reports on a similar study conducted in a sample of 72 primary schools in South Australia. Data from 727 respondents are analysed to produce a four factor solution. The factors are identified as supportiveness, operations emphasis, intimacy and disaffiliation.