Machine Status Monitoring results for Battery Testing

This dataset includes the results from data analytics functionalities related to battery testing procedures. These results can subsequently be processed to a voice assistant in order to support the operator in such time-consuming and costly procedures. More specifically, these results have been generated by two main data analytics functionalities: (i) the "alarm and emergency notification" functionality that is designed to alert users about critical incidents, including alarms triggered during tests and emergencies related to devices, such as fires, gas leaks, sensor faults and more; and, (ii) the "machine status request" functionality that allows the users to query about the condition of a specific machine or receive an overview of the laboratory's operational status. Below, we present indicative analyses that generate the Machine Status Monitoring results. Analysis Explanation Group By It groups and counts the recorded entries from the Chamber dataset based on their status (defconlevel) per day. Duration Of Alarm The duration of the flagged alarms are calculated. For each chamber, the start and end timestamps are recorded for each status, and the durations are calculated in two formats: i) as a timestamp (HH:MM:SS) and ii) in seconds. Defconlevel Duration The duration of all the chamber statuses are calculated. For each chamber, the start and end timestamps are recorded for each status, and the durations are calculated in two formats: i) as a timestamp (HH:MM:SS) and ii) in seconds. Defconlevel Percentages The percentages of all the chamber statuses are calculated inside a certain time frame, in our case a day. For each chamber, the start and end timestamps are recorded for each status, and the percentages are calculated in two formats: i) as a timestamp (HH:MM:SS) and ii) in seconds.