Abstract
As mentioned in Chap. 1, the real-time machine data is collected, which may be corrupt or inconsistent due to the presence of environmental noise. Therefore, the cleaning of data is required to remove unwanted frequencies as well to reduce the size of data for further analysis. This chapter details the second most important step of fault diagnosis framework, i.e., pre-processing of data. Low-quality data leads to misleading results, therefore, to make a better, robust, and more accurate fault classification model, pre-processing is required. The pre-processing involves filtering, clipping, smoothing, and normalization methods. Further, a graphical representation of the acoustic signal has been introduced. The chapter ends by a briefing of the development of pre-processing tool.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Verma, N.K., Sevakula, R.K., Dixit, S., Salour, A.: Intelligent condition based monitoring using acoustic signals for air compressors. IEEE Trans. Rel. 65(1), 291–309 (2016)
Verma, N.K., Agarwal, A., Sevakula, R.K., Prakash, D., Salour, A.: Improvements in preprocessing for machine fault diagnosis. In: IEEE 8th International Conference on Industrial and Information Systems, Kandy, Sri Lanka, pp. 403–408 (2013)
Verma, N.K., Sevakula, R.K., Thirukovalluru, R.: Pattern analysis framework with graphical indices for condition-based monitoring. IEEE Trans. Rel. 66(4), 1085–1100 (2017)
Verma, N.K., Singh, S., Gupta, J.K., Sevakula, R.K., Dixit, S., Salour, A.: Smartphone application for fault recognition. In: 6th International Conference on Sensing Technology, Kolkata, India, pp. 1–6 (2012)
Verma, N.K., Singh, J.V., Gupta, M., Sevakula, R.K., Dixit, S.: Windows mobile and tablet app for acoustic signature machine health monitoring. In: International Conference on Industrial and Information Systems, Gwalior, India, pp. 1–6 (2014)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Verma, N.K., Salour, A. (2020). Pre-processing. In: Intelligent Condition Based Monitoring. Studies in Systems, Decision and Control, vol 256. Springer, Singapore. https://doi.org/10.1007/978-981-15-0512-6_3
Download citation
DOI: https://doi.org/10.1007/978-981-15-0512-6_3
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0511-9
Online ISBN: 978-981-15-0512-6
eBook Packages: EngineeringEngineering (R0)