Automating with SIMATIC: integrated automation with SIMATIC by Hans Berger

By Hans Berger

For the instance of the particular SIMATIC S7 programmable controller, the reader is given an outline of the functioning and layout of a contemporary automation process, an perception into the configuring and parameterization of with STEP 7, and the answer of keep an eye on issues of diverse PLC programming languages

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Additional info for Automating with SIMATIC: integrated automation with SIMATIC S7-300/400: controllers, software, programming, data communication, operator control and process monitoring

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9(a). The sensor has mass ðMs Þ, damping ðCs Þ and stiffness ðKs Þ.

This book does not make an attempt to cover all of the methods available. 17. Appendix B also provides a broad sampling of literature that focuses on many other health monitoring approaches. 9 SUMMARY This chapter has defined the health monitoring process and technical elements involved in that process for a number of different applications. Key benefits of health monitoring were also discussed. A summary of key points in the chapter is given below.  Health monitoring involves the identification of operational and environmental loads, mechanical damage, the growth of damage, and the future performance of the component as damage accumulates.

These differences are important in health monitoring.  An input–output model of the panel is needed to describe how the panel responds to dynamic forces. This model can be used to estimate the location and magnitude of impacts due to foreign objects such as micrometeorites.  Similarly, a model of the panel’s vibration response to aerodynamic pressure loading is needed for diagnosing (detecting, locating and quantifying) damage to the panel. To detect damage, a statistical model would be needed to distinguish healthy and damaged panels.

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