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4101 Reliability Analytics
Part # DL-4101
Cost: $1,000 USD   Length: 4 Days

Schedule

Location
Start Date
End DateSession TimesCostStatus
Distance Learning (web-based / English): Local start time in Dubaii23-Sep-201924-Sep-2019Monday, September 23: 2:00 PM - 6:00 PM Persian Gulf Time
Tuesday, September 24: 2:00 PM - 6:00 PM Persian Gulf Time
$1,000.00 USD
Distance Learning (web-based / English): Local start time in Roanoke, VA16-Dec-201917-Dec-2019Monday, December 16: 12:00 PM - 4:00 PM Eastern Time
Tuesday, December 17: 12:00 PM - 4:00 PM Eastern Time
$1,000.00 USD
Wait List10-Dec-202510-Dec-2025Wednesday, December 10: 8:00 AM - 12:00 AM Eastern Time
$0.00 USD

Description


4101 Reliability Analytics

Overview

Reliability Analytics provides tools that can help you analyze data, develop operational and maintenance strategies, and evaluate the effectiveness of those strategies over time. During this course, you will gain the necessary knowledge and skills to utilize Reliability Analytics tools for the analysis of existing maintenance, design, predictive, and process data.

After completing this course, you will be able to query the data currently in your database to perform a number of analyses that will help you identify reliability problems. Once a reliability problem is identified and you have built a query, you will be able to apply Statistical Reliability methods. You also will learn how to use Wizards that make it possible to quickly build analyses, including Growth, Weibull, and Production Analyses.

Audience

This class is designed for:

  • Functional Consultants - Reliability
  • APM Analysts
  • Reliability Engineers

When you complete this course, you will be able to:

  • Explain concepts related to Reliability Analytics
  • Identify bad actors and asses how they affect an APM analysis
  • Use queries that relate to reliability analysis
  • Explain the concepts of a Weibull Analysis and incorporate the findings into a reliability analysis
  • Explain the concepts of Production Analysis
  • Understand the automation rules for Reliability Analytics
  • Explain what a Spares analysis and how it incorporates into APM

Duration

  • 12 hours

Delivery Format

  • Instructor-led Classroom
  • Virtual Classroom
  • Onsite