Are you participating in the development of a database for tracking the lifespan of machinery and components? While most individuals rely on extracting information from CMMS, it may not always be detailed enough for maintenance reliability. For instance, if you frequently swap out 100 pumps in your facility during CBM or PM, how can you accurately monitor the lifespan of your machines over a period of 2, 3, or 5 years? In the Oil and Gas industry, there have been initiatives to use handheld devices for data collection, which is then transferred to a database or spreadsheet, albeit lacking in depth. Any additional resources on this topic would be highly appreciated.
Hello Machine Doc, are you discussing the history of equipment and maintenance records?
For more information on equipment reliability, check out the forum discussion at http://maintenanceforums.com/e...=423109032#423109032. The OREDA website provides valuable insights into tracking the reliability of various equipment types. Visit their website at http://www.sintef.no/static/tl...ts/oreda/results.htm to learn more.
Albert, are there any alternative databases or tools that can be used aside from CMMS? For instance, is there a specialized database for monitoring machinery and component life, such as Maintelligence or any similar product available in the market?
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For those seeking additional databases, visit www.barringer1.com. Variability in values is common within the same component and plant due to various factors such as different failure modes and incorrect reporting. While I have trained individuals in CMMS like Maximo and emphasized the importance of tracking Tag position and equipment history, this practice is often not consistently implemented due to lack of discipline or clarity on which equipment to focus on. I can share a study conducted 29 years ago on manual recording systems as an example, and I have since gained expertise in analysis techniques such as weibull and censoring. Contact me at david.thompson@sonangolpp.com for the attached Analysis_case_study.pdf (358 KB).
I completely agree that to harness top-notch maintenance reliability, we need more than just basic CMMS data. In my experience, integrating sensor technology has been really beneficial in tracking the lifecycle of machinery. These sensors can provide real-time data on machine performance, allowing us to predict potential failures and plan preventative maintenance much more effectively than before. Moreover, use of cloud-based IoT platforms can offer a depth to this data by allowing us to analyze and compare it over time. I find IBM's Maximo, for instance, to be a powerful tool in this realm. Its asset health insights, merged with AI, can provide a broad perspective on equipment health, and thus, lifespan. Though some initial investment is involved, I personally think it's worth it for the long-term operational efficiency.
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Answer: - Answer: Detailed database tracking allows for more accurate monitoring of machinery lifespan by providing in-depth information beyond what traditional CMMS systems offer, especially in scenarios involving frequent component replacements.
Answer: - Answer: Handheld devices are used for data collection in the field, and the collected data is then transferred to a database or spreadsheet for analysis. However, this method may lack the depth needed for comprehensive machinery lifespan tracking.
Answer: - Answer: One challenge is the limited detail provided by traditional CMMS systems, making it difficult to track machinery lifespan accurately, especially when components are frequently replaced. Another challenge is the need for more comprehensive data collection methods to ensure accurate tracking over extended periods like 2, 3, or 5 years.
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