This algorithm measures the proper functioning of a machine by analyzing the time spent each day with an active failure or anomaly (major and minor).

Only failures and anomalies having the HEALTH as topic are involved in the computation.

Failures, Major and Minor Anomalies are considered with different weights, and optionally Minor anomalies can be discarded according to the threshold specified in the insight metric (by default at least 5 per day).

A value of 100% means that the machine is running well without problems, on the contrary, a low value, or a downward trend in the calculated values, could indicate that the machine has problems and will therefore need to be serviced. For more details about the Proper Functioning Index topic, you can explore the Servitly Academy.

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Algorithm Configuration

To use this Algorithm, you need to:

Go to the Insight / Insight Metrics page.
Select the Thing Definitions tab.
Select the Thing Definition where to create the insight metric.
Click the Add Metric button.
Select the Proper Functioning Index algorithm.
Configure the Algorithm required inputs.

Here is the list of inputs required by this Algorithm.

INPUTS

Events

The FAILURE and ANOMALY events occurred on the machine during the last 24 hours and having HEALTH as topic.
Type: ACTIVE_EVENTS | Mandatory

Minor Anomalies Threshold

The minimum number of minor anomalies to be considered in the algorithm computation.
Type: INTEGER | Mandatory | Default: 5

Here is the list of outputs provided by this Algorithm.

OUTPUTS

Proper Functioning Index

The daily proper functioning index.
Type: FLOAT | Insight Properties: AVG LAST_30_DAYS, AVG LIFETIME

Algorithm Configuration

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