Introduction

This content is currently WIP. Diagrams, content, and structure are subject to change.

Introduction

The C3 AI Reliability application is designed to help organizations predict and prevent equipment failures, optimize maintenance schedules, and improve overall operational efficiency. By leveraging advanced analytics, machine learning, and AI capabilities, the application provides actionable insights to reduce downtime and maintenance costs.

Key Features in Version 8.6

• Basic Risk Alert Calculations: Algorithms for risk assessment
• Simple Anomaly Detection: Detection of potential issues
• User Interface: Standard dashboards and visualization tools
• ML Model Support: Support for basic machine learning models
• Standard Reports: Basic reporting capabilities

Key Reliability Terms

Term	Definition
Asset	Physical equipment or component that is monitored for reliability
Sensor	Device that collects data from assets for analysis
Failure Mode	Specific way in which an asset can fail
Risk Alert	Notification of potential failure based on data analysis
Time-to-Event Prediction	Forecast of when a failure might occur

Getting Started

To get started with the C3 AI Reliability application, see the following sections:

• Data Model Overview
• Setting Up a Test App
• Application Logic