Download the PDF here:
The individual technologies used in predictive maintenance (PDM) have broad application in plants and facilities.
The three most common ones
are:
Typically, vibration analysis is used to detect wear in rotating equipment. Thermography is used to detect loose connections or hot spots in electrical equipment. And oil analysis has at least two uses — to determine the condition of a lubricant and to examine the wear particles contained in the lubricant to determine the wear rate of the components in the system. When used to determine the relative condition of the equipment being lubricated, it is often referred to as “wear-particle analysis.” In addition to these technologies, there are others such as ultrasound that can be used to isolate air leaks, steam leaks, defective fluid power components, and other problems.
Download our white paper to find out more.
Download the PDF here:
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |