Reliability Growth: Overview

Overview of Reliabililty Growth Analysis

Reliability Analytics

The Reliability Analytics module provides a collection of tools that apply reliability engineering principles to help you make tactical (short-term) and strategic (long-term) decisions for maintenance and operational equipment management activities. It also provides:
  • A means for analyzing historical failure data to identify trends and predict future failures.
  • A mechanism for simulating what if scenarios regarding the reliability of a system to determine if a new or modified strategy will be effective.
The Reliability Analytics module provides the following types of tools:
  • Production Analysis
  • System Reliability Analysis
  • Spares Analysis
  • Reliability Distribution Analysis
  • Probability Distribution Analysis
  • Reliability Growth Analysis
  • Automation Rules
Each tool provides a unique set of features that allow you to analyze data to develop strategies to improve reliability.

Reliability Growth Analysis

Reliability Growth Analysis is a tool that indicates whether your data measurements are random or follow a trend. After analyzing the analysis, you will be able to make strategic decisions to determine if a new or modified strategy will be effective in improving your reliability.

Reliability Growth Analysis Workflow

This workflow provides the basic, high-level steps for developing Reliability Growth Analysis. The steps and links in this workflow do not necessarily reference every possible procedure.

  1. Collect data for the elements that you want to analyze.
  2. Create a new Reliability Growth Analysis from an existing query, dataset, or manually entered data. For an analysis from an existing query or dataset, you can create the analysis using Failure Dates or Cumulative Operating Time.
  3. Evaluate the results in the following ways using the features of the Reliability Growth Analysis tool.