Data Mining, Statistical Analysis & Limits Assessment
With the ever-increasing amount of data that is collected for machinery condition and performance monitoring, there is a rising need for automated methods to process and extract useable knowledge out of the wealth of data and information. We have experience with analyzing large fleets of multiple-equipment types, for applications in the aviation, marine, railway, mining, and power generation industries. We can help you to manage the data, highlight and extract fault data from the normal data, integrate data from multiple measurement sources, turn data into knowledge about machinery condition, and get actionable information to support maintenance decision-making.
Services:
- Establish a robust data collection, storage, and data management program
- Review historical machinery condition data
- Mine and statistically analyze data by machinery type and function
- Identify failure data based on statistics and fault signatures
- Identify any false-positive alarms
- Assess relevant failure data and correlate to maintenance records
- Establish reliable limits and guidelines for your machinery
- Verify limits through equipment maintenance reports, when available
- Integrate multiple types of data (fluid, debris, process variables, performance, etc.) for more comprehensive condition assessment
- Provide actionable decision-making recommendations
- Provide detailed summary reports