Review Anomaly and Prediction Events from Connected Equipment

Oracle Cloud Maintenance extends intelligent event integration that empowers maintenance teams to identify and respond to early signs of equipment degradation - even when the conditions appear normal. The new capability extends Maintenance to receive anomaly and prediction events from the connected equipment or third-party monitoring systems, ensuring that subtle deviations and emerging risks are no longer overlooked.

With this enhancement, Maintenance Supervisors can:

  • Receive and review anomaly or prediction events directly within Oracle Maintenance.
  • Assess and dispose events to trigger appropriate maintenance actions such as inspections, work requests, or work orders.
  • Act on predictive signals before fault thresholds are breached, minimizing the risk of unplanned downtime or quality issues.

By enabling the ingestion and handling of external anomaly and prediction events, Oracle  Maintenance now supports a broader range of condition-based and predictive maintenance workflows. This advancement strengthens operational reliability and empowers supervisors to move from reactive to proactive maintenance strategies.

Maintenance teams can detect hidden issues earlier, reduce reactive repairs, improve mean time between failures (MTBF), and sustain high overall equipment effectiveness (OEE). The result is improved asset availability, fewer disruptions, and continuous production at optimal efficiency.

Steps to Enable and Configure

To enable this feature you need to log a Service Request (SR).

This feature requires additional services (“SCM Core Service-Smart Operations”) to be provisioned on your instance.

  1. Select Product Module: Oracle Maintenance Cloud Service.
  2. Select Category: Maintenance Work Orders.
  3. Select Subcategory: Maintenance Work Orders.
  4. Select Component: Installation Issue (INSTALL).
  5. Select Severity: 3-Minimal Loss of Service.
  6. Copy and paste this text into description area of the SR: Enable the SCM Core Service-Smart Operations.

Please note that this service can be enabled on instances that are available on Oracle Public Cloud regions.

Tips And Considerations

  1. Connected asset events received via industrial communication protocols need to be converted into a payload that Oracle Fusion Cloud Maintenance can ingest and take actions on. The accepted payload specifications are documented here: REST API for Oracle Fusion Cloud SCM. Predictions use the new CA_FAILURE_PREDICTION event type, anomalies use the CA_ANOMALY event type. Payload can be ingested via REST or MQTT.
  2. Prediction can contain predicted operational parameters, which must be configured in Oracle Maintenance using the Operational Parameters task list entry. See this 25C What's New to set up Operational Parameters.
  3. This feature doesn't accept time series data. It's required that high frequency data is prescreened and condensed by an external Industrial IoT framework.

Access Requirements

Users need these privileges and duty roles to create/edit/delete/view Operational Rules: 

  • Manage Operational Rules (SMO_MANAGE_OPERATIONAL_RULES_PRIV): For Create/Read/Update/Delete operations.
  • View Operational Rules (SMO_VIEW_OPERATIONAL_RULES_PRIV): For Read Only operation.
  • Access HCM Common Components (HRC_ACCESS_HCM_COMMON_COMPONENTS_PRIV)
  • Manage HCM Rules (HRC_MANAGE_HCM_RULES_PRIV)
  • Access to SMO rules management (ORA_DR_SMO_MANAGE_OPERATIONAL_RULES_MNT_DUTY)

Users need this privilege to create/edit/delete/view Operational Parameters: 

  • Manage Operational Parameters (SMO_MANAGE_OPERATIONAL_PARAMETERS_PRIV): For Create/Read/Update/Delete operations.
  • View Operational Parameters (SMO_VIEW_OPERATIONAL_PARAMETERS_PRIV): For Read Only operation.

Users need this privileges and duty roles to access event logs:

  • View Operational Events (SMO_VIEW_EVENT_LOGS_PRIV)
  • View Operational Events (ORA_DR_SMO_VIEW_OPERATIONAL_EVENTS_MFG_DUTY)