High-quality oil analysis is one of the most valuable tools in the condition-monitoring toolbox. Oil analysis labs work hard to place critical machine condition data at your fingertips, but it’s up to you to take it the rest of the way. In this course, you will learn a systematic approach to translating oil analysis reports into actionable maintenance decisions. You will learn how to select the right tests for measuring the right data points for specific processes, environments and machine conditions. The course also touches on achieving accurate and consistent data collection, removing data noise to accurately identify false results, elemental analysis interpretation, interpreting metallurgical composition combinations to identify wear modes, setting key performance indicators (KPIs) and alarm limits.
Dates and Locations
|Denver, CO||August 11 – 13, 2020||Details|
What You’ll Learn
- Using trend report results to identify potential lubricant failures
- Identifying machine wear and failure modes from report data
- Determining when to change, clean or restore lubricant properties
- Identifying when additives have been depleted
- Using elemental analysis results to determine wear locations and mechanisms
- Selecting correct test packages for collecting meaningful data on in-service lubricants
- Extracting meaningful analysis from test reports
- Determining lubricant condition and actions to ensure optimum lubricant performance
- Identifying when the environment and operation have impacted the lubricant
- Applying a systematic approach to reviewing test results and setting next steps
- Identifying data noise from improper lubricant sampling and diagnosing potential sources
- Identifying a quality lab based upon key standards
- Integrating field test and lab analysis results for developing a lubricant health scorecard
- Applying a systematic approach for quick and effective data interpretation
- Interpreting results for determining base oil and additive health, process and environmental contamination, filter performance and machine wear
Are You Catching Critical Early Warning Signals?
Properly established alarm limits are warning flairs that signal your machine is in trouble. There’s no time to waste – immediate troubleshooting must take place and the problem found before it is too late. If alarm limits aren’t set precisely, the results could be disastrous. Learn how to correctly position alarm limits for specific machine types to ensure you’ll receive critical early warnings of impending failures and root cause conditions.
Reduce Data Interpretation Errors
Even if you do everything else right, the success of an oil analysis program always comes down to correct interpretation of test data. In this course you’ll learn a systematic approach to translating your oil analysis data into actionable information. You’ll learn how to get the most from your oil analysis program and stop jumping to conclusions too early in the process, reducing errors in interpretation.
Stop Wasting Money on Oil Analysis
Oil analysis isn’t cheap, and neither is the equipment on which it reveals information. Every year, industrial plants pay millions of dollars for commercial laboratories to perform analysis on used and new oil samples. Unfortunately, most of the plant personnel who receive these lab reports do not understand the basics of how to interpret them. In this course, you will learn how to mine your oil analysis data to make confident maintenance decisions.
Ways to Register
- Register Online
- Call 833-273-6518 or 918-392-5038 Available:
Monday – Friday, 7:30 am – 4:30 pm ( UTC)
- Fax the Registration Form to 918-746-0925
- The fee for this training is $1,195 per person.
- Registration Information
- Cancellation Policy
- Seating is limited and we encourage you to register early.
- Walk-in registrations will be accepted as space allows.
- Check-in Time Tuesday, 7:30 a.m. – 8:00 a.m.
- Course Duration Tuesday – Thursday, 8:00 a.m. – 5:00 p.m.
- Attendees are on their own for meals, but fresh brewed coffee is available throughout the day and during breaks. A lunch break will occur from 12:00 p.m. – 1:15 p.m.
- Please, no audio or video recording.
- Parking is not included in registration fees.