Conclusion

This conclusion presents some closing thoughts on the concepts covered in the preceding chapters of this book. The book attempts to bring together many techniques in one place and outlines a comprehensive guide from the basics of the rotating machine to the generation of knowledge using vibration signals. It first provides an introduction to machine condition monitoring using vibration signals, and describes the three main groups of vibration signal analysis – time domain, frequency domain, and time-frequency domain. The book then focuses on vibration-based machine condition monitoring processes, highlights the main problems of learning from vibration data for the purpose of fault diagnosis, and describes commonly used methods for data normalisation and dimensionality reduction. The book also presents various classification techniques and their applications in machine fault detection and identification based on the features provided. It further introduces new techniques for classifying machine health based on compressive sampling and machine learning algorithms.