On the optimization problem of model-based monitoring

• Published in: Science China Technological Sciences 2011-05, Vol.54 (5), p.1095-1106
• Main Authors: Ginzinger, L., Sahinkaya, M. N., Heckmann, B., Keogh, P., Ulbrich, H.
• Format: Article
• Language: English
• Subjects: Engineering; 优化问题; 传感器信号; 基于模型; 故障识别; 故障预报; 电磁轴承转子系统
• ISSN: 1674-7321; 1869-1900; 1862-281X
• DOI: 10.1007/s11431-011-4355-7

Today there is a big interest in reducing the maintenance costs and in increasing the reliability of machines in continuous operation. Therefore, maintenance on condition is used. State-of-the-art is a trend analysis and a fault prediction made only based on sensor signals and stochastic methods. The identification possibilities of this technique are limited. A new concept for model-based monitoring has been developed for more detailed fault identification. The developed concept determines the condition of a machine after the occurrence of a fault. The concept is based on a simulation including various faults and an optimization tool. The development of a cost function and the optimization is one of the challenges of such a concept. Using an AMB rotor system with an auxiliary bearing, the new concept of model-based monitoring is investigated using experiments and the optimization is discussed in this paper.