Condition Monitoring of Machinery in Non-Stationary by Robert B. Randall, Nader Sawalhi, Michael Coats (auth.),

By Robert B. Randall, Nader Sawalhi, Michael Coats (auth.), Tahar Fakhfakh, Walter Bartelmus, Fakher Chaari, Radoslaw Zimroz, Mohamed Haddar (eds.)

Condition tracking of machines in non-stationary operations (CMMNO) might be obvious because the significant problem for learn within the box of equipment diagnostics.

Condition tracking of machines in non-stationary operations is the identify of the provided booklet and the identify of the convention held in Hammamet - Tunisia March 26 – 28, 2012. it's the moment convention lower than this name, first came about in Wroclaw - Poland , March 2011.

The topic CMMNO comes at once from wishes and statement of genuine gadgets. so much monitored and clinically determined items utilized in works in non-stationary operations situation. The non-stationary operations come from achievement of equipment initiatives, for which they're designed for. All equipment utilized in various type of mines, delivery structures, autos like: automobiles, buses and so forth, helicopters, ships and battleships and so forth paintings in non-stationary operations.

The papers incorporated within the e-book are formed via the organizing board of the convention and authors of the papers.

The papers are divided into 5 sections, namely:

Condition tracking of machines in non-stationary operations

Modeling of dynamics and fault in systems

Signal processing and trend recognition

Monitoring and diagnostic systems

Noise and vibration of machines

The offered booklet provides the again flooring to the most goal of the CMMNO 2012 convention that's to compile clinical neighborhood to debate the most important advances within the box of equipment situation tracking in non-stationary stipulations.

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Additional resources for Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the Second International Conference "Condition Monitoring of Machinery in Non-Stationnary Operations" CMMNO’2012

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5 Electric field and fluid viscosity variation vs. speed and time Inside the NER-HSFD At the middle Fig. 6 Control of vibration of the shaft vs. speed and time 4 Conclusion Non-linear modeling of a hydrostatic squeeze film damper has been presented and applied in a control system to limit the vibration of high speed flexible shafts partly supported by a NER-HSFD. The following conclusions can be obtained. (a) To reduce the vibration of a flexible shaft, the results have revealed that the vibration inside the journal bearing must be kept large when operating close to critical speeds.

For the calculation of the probability density (6) we used db10 mother wavelet and wavelet packet tree with depth 5. For the purpose of prognostics the statistical complexity (3) was plotted vis-à-vis the Rényi entropy (1) as in Figure 1. 8 Fig. 3 α -Jensen divergence vs. Rényi Entropy Experiment #1: Constant operating conditions The evolution of the statistical complexity for vibration signals from the first experiment is shown in Figure 3. Several observations can be made. Firstly, the shape of the plot, as expected, is quite similar to the one shown in Figure 1.

The decrease of 30 P. Boškoski and Ð. Juriˇci´c the statistical complexity occurs when the surface gear faults spread across multiple teeth. Consequently, the modulation components decrease. From the complexity point of view, such a signal is “similar” with the vibration signals from the beginning of the experiment, hence the decrease of the statistical complexity. Experiment #2: Variable load 85 60 66 50 47 40 27 30 Torque Temperature 8 0 20 40 60 80 120 100 Time [Hours] 140 160 Temperature ℃ Torque [Nm] The second experiment was performed by using the variable load profile shown in Figure 4.

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