Packaging Industry Anomaly DEtection (PIADE) Dataset (Q6707389)

PIADE dataset contains data from five industrial packagingmachines: Machine s_1: from 2020-01-01 14:00:00 to 2021-12-31 13:00:00 Machine s_2: from 2020-06-17 08:00:00 to 2021-12-31 07:00:00 Machine s_3: from 2020-10-07 12:00:00 to 2022-01-01 23:00:00 Machine s_4: from 2020-01-01 01:00:00 to 2022-01-01 23:00:00 Machine s_5: from 2020-01-20 08:00:00 to 2022-01-01 12:00:00 ## Raw Data Each row represents a production interval, with the following schema: interval_start: start of the production interval equipment_ID: equipment identifier alarm: alarm code of the active stop reason, if it occurred type:idle, production, downtime, performance_loss or scheduled_downtime start: start of the production interval end: end of the production interval elapsed:duration of the production interval pi: input packages po: output packages speed: speed (packages per hour) There are 133 different types of alerts, and 429394 rows. ## Sequences (1h) data For each piece of equipment, we define sequences of length = 1 hour and we aggregate raw interval data as follows: equipment_ID: machine identifier #changes: changes in machine state %downtime: time spent in downtime state %idle: time spent in idle state %performance_loss: time spent in performance loss state %production: time spent in production %scheduled_downtime: time spent in scheduled downtime count_sum: sum of all alarm occurrences A_XXX: counter of alarm XXX occurrences state1/state2: number of transitions from state1 to state2