DOI: 10.5281/zenodo.7572501
title: Condition Monitoring for Packaging Industry dataset (CoMoPI)

description: <strong>Condition Monitoring for Packaging Industry dataset (CoMoPI)</strong> CoMoPI dataset contains data from eight industrial packaging machines: <strong>serial</strong> <strong>Starting Date</strong> <strong>Ending Date</strong> A001 2022-08-10 03:45:00+00:00 2023-01-09 07:00:00+00:00 A005 2022-09-19 13:15:00+00:00 2023-01-09 15:45:00+00:00 B002 2022-07-14 14:00:00+00:00 2023-01-09 15:50:00+00:00 B005 2022-10-04 12:55:00+00:00 2023-01-05 01:55:00+00:00 C003 2022-12-15 06:50:00+00:00 2023-01-03 16:35:00+00:00 C004 2022-07-18 07:55:00+00:00 2022-12-28 08:10:00+00:00 E002 2022-07-14 14:20:00+00:00 2022-12-03 14:00:00+00:00 E004 2022-11-23 15:25:00+00:00 2023-01-09 10:00:00+00:00 The dataset provides sensor measurements related to a specific module involved in the watertight closure of packages. It also provides all alarms and warnings generated by the packaging equipment. <strong>Dataset description</strong> For the sake of simplicity, the dataset is divided into three files, one for sensor measurements, one for alarms and one for warnings. <em>Sensor measurements</em> This data is included in the file called <em>industrial_dataset_sensors_10m_agg.csv</em>. Each row corresponds to average sensor value in a 10-minute window. Beyond the machine identifier ('_serial') and timestamp ('_time'), the following measurements are available: 'AE', 'BE', 'AF', 'BF', 'APP', 'BPP', 'AP', 'BP', 'ALE', 'BLE', 'ALP', 'BLP', 'ADS', 'BDS', 'AES', 'BES'. Suffixes A_ and B_ relate to the two elements that can perform a specific operation required by the watertight closure of packages. For confidentiality reasons, it is not possible to provide further details. <em>Alarm measurements</em> This data is included in the file called <em>industrial_dataset_alarm_10m_agg.csv</em>, according to the following schema: '_serial' : 'machine unique identifier' '_time' : 'timestamp', 'AL_1' : 'Counter of AL_1 alarms' , ... 'AL_123' : 'Counter of AL_123 alarms' <em>Warning measurements</em> This data is included in the file called <em>industrial_dataset_warnings_10m_agg</em>.csv_, according to the following schema: '_serial' : 'machine unique identifier' '_time' : 'timestamp', 'WR_1' : 'Counter of AL_1 alarms' , ... 'WR_358' : 'Counter of WR_358 alarms' <strong>Condition monitoring</strong> Alarms 'AL_53' are 'AL_54' are related to faulty conditions of the components and can be used as prediction target. The following alarms are generated by the target module: 'AL_17', 'AL_18', 'AL_40', 'AL_41', 'AL_42', 'AL_43', 'AL_45', 'AL_46', 'AL_47', 'AL_48', 'AL_49', 'AL_50', 'AL_51', 'AL_52', 'AL_53', 'AL_54'. <strong>Anonymization procedure</strong> The anonymization procedure is the following: To make it impossible to identify the specific piece of equipment, its serial number was replaced with a mock equipment_ID. Moreover, no additional information is provided about the machine, its location and the processed products. Sensor measurements were renamed and rescaled to remove all information related to actual working setup. Alarms and warnings underwent an anonymization process: no description is provided, and the original alarm codes were mapped to mock codes.
description: This work was supported by Italian Government PNRR initiative 'Partneriato 11 - MICS Made in Italy Circolare e Sostenibile' and Ministero dell'Università e della Ricerca initiative 'Interconnected Nord-Est Innovation Ecosystem (iNEST)'