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.