Accuracy of Fault Detection in Real Rotating Machinery Using Model

Nicolo BACHSCHMID; Paolo PENNACCHI

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Accuracy of Fault Detection in Real Rotating Machinery Using Model

机译：基于模型的真实旋转机械故障检测精度。

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An experimental validation of a model based identification technique is presented in this paper. The validation is performed on both real machines, like large steam and gas turbogenerators, and test rigs. The aim is to show that the method is able to locate the actual fault, to evaluate its severity and to discriminate among faults that have similar symptoms. A quantitative index, called residual is introduced to evaluate the accuracy of the performed identification. The actual developing faults taken into account are some of the most common on rotating machines such as unbalances, thermal bows, fatigue cracks and radial and angular misalignments of couplings.

机译：本文提出了基于模型的识别技术的实验验证。验证是在真实的机器（例如大型蒸汽和燃气涡轮发电机）和试验台上进行的。目的是表明该方法能够定位实际故障，评估其严重性并区分具有相似症状的故障。引入了一个称为残差的定量指标，以评估所执行识别的准确性。考虑到的实际故障是旋转机械上最常见的一些故障，例如不平衡，热弯曲，疲劳裂纹以及联轴器的径向和角度未对准。

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《JSME International Journal. Series C, Mechanical Systems, Machine Elements and Manufacturing》 |2003年第3期|p.1026-1034|共9页
作者
Nicolo BACHSCHMID; Paolo PENNACCHI;
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正文语种 eng
中图分类机械、仪表工业;机械学（机械设计基础理论）;
关键词
Diagnostics; Fault Identification; Rotor Dynamics; Crack; Unbalance; Bow;

机译：诊断;故障识别;转子动力学;裂纹;不平衡;弓;

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1. Accuracy of Fault Detection in Real Rotating Machinery Using Model [J] . Nicolo BACHSCHMID, Paolo PENNACCHI JSME International Journal. Series C, Mechanical Systems, Machine Elements and Manufacturing . 2003,第3期

机译：基于模型的真实旋转机械故障检测精度。
2. Use of modal representation for the supporting structure in model-based fault identification of large rotating machinery: Part 2—application to a real machine [J] . Paolo Pennacchi, Nicolo Bachschmid, Andrea Vania, Mechanical systems and signal processing . 2006,第3期

机译：模态表示在大型旋转机械基于模型的故障识别中用于支撑结构的使用：第2部分-在实际机械中的应用
3. Adaptive parametric dictionary design of sparse representation based on fault impulse matching for rotating machinery weak fault detection [J] . Measurement Science & Technology . 2020,第6期

机译：基于故障脉冲匹配旋转机械弱故障检测的自适应参数词典设计
4. Analysis of rolling element bearing faults in rotating machinery - experiments, modelling, fault detection, and diagnosis [C] . M L ADAMS, K A LOPARO IMechE Conference Transactions 2004-2; International Conference on Vibrations in Rotating Machinery; 20040907-09; Wales(GB) . 2004

机译：旋转机械中滚动轴承故障的分析-实验，建模，故障检测和诊断
5. Analysis of rolling element bearing faults in rotating machinery: Experiments, modeling, fault detection and diagnosis. [D] . Adams, Michael Louis. 2001

机译：旋转机械中滚动轴承故障的分析：实验，建模，故障检测和诊断。
6. A Precise Diagnosis Method of Structural Faults of Rotating Machinery based on Combination of Empirical Mode Decomposition Sample Entropy and Deep Belief Network [O] . Zhaoyi Guan, Zhiqiang Liao, Ke Li, 2019

机译：基于经验模态分解样本熵和深信度网络相结合的旋转机械结构故障精确诊断方法
7. Accuracy of Fault Detection in Real Rotating Machinery Using Model Based Diagnostic Techniques [O] . Nicolò BACHSCHMID, Paolo PENNACCHI 2003

机译：基于模型的诊断技术实际旋转机械故障检测精度
8. Applications of Neural Networks in Fault Detection of Rotating Machinery. [R] . Nash, W. O. 1993

机译：神经网络在旋转机械故障检测中的应用。

Accuracy of Fault Detection in Real Rotating Machinery Using Model

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