To crack the current problem of lack of fault data and the strong need for expertise in diagnosis in specific areas, this paper analyses the existing rotating machinery fault datasets in time-domain and frequency-domain indicators and finds three of which are indicative of the fault state of rotating machinery. Through the comparative analysis of vibration data in different dimensions, it is shown that the three indicators are not affected by the location of data collection in indicating the failure state of rotating machinery, which is of positive significance for the study of whether the rotating machinery is in a failure state in a specific field.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.