Items where Author is "Al-Azmi, A"

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Number of items: 9.

Journal article

AL-HABAIBEH, A., AL-AZMI, A., RADWAN, N. and YANG, S., 2010. The application of force and acoustic emission sensors for detecting tool damage in turning processes. Key Engineering Materials, 419420, pp. 381-384.

AL-AZMI, A., AL-HABAIBEH, A. and REDGATE, J., 2009. Rapid design of tool-wear condition monitoring systems for turning processes using novelty detection. International Journal of Manufacturing Technology and Management, 17 (3), pp. 232-245.

AL-AZMI, A. and AL-HABAIBEH, A., 2008. The design of enhanced on-line condition monitoring systems for turning processes. International Journal of Design Engineering, 2 (1).

Chapter in book

AL-AZMI, A., AL-HABAIBEH, A. and SU, D., 2006. Modern developments in condition monitoring systems of machining processes - a literature survey. In: Proceedings of the International Conference on Advanced Design and Manufacture. UNSPECIFIED. ISBN 1842331183

AL-HABAIBEH, A., AL-AZMI, A. and REDGATE, J., 2006. Rapid design of tool-wear condition monitoring systems for turning processes. In: Proceedings of the International Conference on Advanced Design and Manufacture. UNSPECIFIED. ISBN 1842331183

Conference contribution

AL-AZMI, A. and AL-HABAIBEH, A., 2008. The application of vibration analysis in the design of condition monitoring systems. In: Proceedings of the Fourth International Conference on Energy Research and Development, Kuwait.

AL-AZMI, A. and AL-HABAIBEH, A., 2007. Responsive design of condition monitoring systems to detect tool wear in turning processes using novelty detection. In: Proceedings of the 4th International Conference on Responsive Manufacturing.

AL-HABAIBEH, A. and AL-AZMI, A., 2006. On-line condition monitoring system for turning processes using artificial neural networks. In: Proceedings of the international conference on multidisciplinary information sciences and technologies, InSciT2006.

AL-HABAIBEH, A. and AL-AZMI, A., 2006. Sensor fusion model for condition monitoring system of turning rpocess using artificial intelligence. In: Proceedings of the international conference on multidisciplinary information sciences and technologies, InSciT2006.

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