Key Reliability Terms

Before you begin to customize a C3 AI Reliability application, familiarize yourself with these terms used in the context the C3 AI Reliability data model:

• Alert: Indicator that a asset risk score has exceeded the configured threshold, and notifies the user that a high-risk issue has been identified.
• Asset: Manufacturers use the term asset to refer to a revenue-generating system of systems (for example, offshore oil platform, gas reservoir).
• Cluster: Machine learning term. In Predictive Maintenance, a cluster is a correlated group of sensors that are associated with a single asset (but may not be physically connected).
• Failure Mode Identification: Maps asset event predictions to known failure modes observed in historical data or available in database of asset classification blueprints.
• Operations Management: Directly integrates with work management system to schedule work orders.
• P&ID: Piping & instrumentation diagram – detailed diagram of the process equipment and piping together with instrumentation and control devices.
• PFD: Process flow diagram – high level diagram of equipment relationships for material flows in a process.
• Plant: A facility where an industrial manufacturing process takes place.
• Risk Score: quantitative measure of asset performance using semi-supervised anomaly detection. Risk score is computed based on correlation of relevant tags/sensors to a given asset, and the deviation from observed behavior from the expected behavior for that group of tags.
• ReliabilityAsset: A generalized asset that can be broken down into a general asset hierachy, usually consisting of an overarching System that has multiple Subsystems which have multiple pieces of Equipment.
• Equipment: A ReliabilityAsset that is a single piece of equipment (for example, valve). Not an actual type, just a formulaic use case of ReliabilityAsset.
• Subsystem: A ReliabilityAsset which is a collection of equipment or a collection of smaller subsystems performing a chemical reaction or physical operation that occurs on the material in the process. Not an actual type, just a formulaic use case of ReliabilityAsset.
• System: A ReliabilityAsset which is a collection of subsystems performing a chemical reaction or physical operation that occurs on the material in the manufacturing process. Not an actual type, just a formulaic use case of ReliabilityAsset.
• Sensor/Tag: An individual data series associated with a measured quantity on an asset (for example, pressure, temperature, flow rate). Is a leaf in the asset hierarchy and are used as features in Machine Learning models.
• Workflow Management: Multi-phase workflow process to review and disposition alerts.
• Criticality: A generic and consistent attribute assigned to Assets and Alerts, used for comparing and triaging especially when dealing with different non-comparable model outputs.
• Criticality Score: A numeric value between 0 and 1 (inclusive) to represent criticality.
• Criticality Level: A descriptive string to represent criticality in the UI.