Introduction
For users without previous experience of Condition Monitoring and signal processing, we strongly recommend consulting additional reference material, to complement this documentation. See list of references at the end of this section.
Basic signal processing concepts, in particular Fourier analysis and statistics, are introduced below. This does not include programming details and is limited to a description of the interfaces and functions of the algorithms used in the Condition Monitoring library.
What you will learn:
- How does a frequency analysis work?
- How does a seamless analysis of a continuous data stream work?
- How do I analyze a time segment, and how do I trigger an analysis?
- How to scale a spectrum, and why is this important?
- How to obtain statistically resilient results when measuring signals are affected by noise or interference?