Industrial Equipment Downtime Logs

This dataset contains detailed logs of downtime events for critical manufacturing equipment, including timestamps, causes, maintenance actions, and impact metrics such as cost and production loss. It enables reliability analysis, maintenance optimization, and cost reduction strategies for manufacturing operations. The dataset is structured for easy integration with analytics platforms and supports granular tracking of equipment performance.

  • opened 15 times
  • last updated 5 Sept 2025
  • by GoMask
The brief that made it

Reliability and failure mode analysis for manufacturing equipment

Sample rows

preview · 8 of 200 rows · all 17 columns
downtime_idstringdowntime_categorystringcost_impactfloatmaintenance_teamstringequipment_idstringequipment_namestringequipment_typestringlocationstringdowntime_startdatetimedowntime_enddatetimeduration_minutesfloatdowntime_reasonstringreported_bystringparts_replacedstringproduction_loss_unitsintegernotesstringmaintenance_action_takenstring
DT-10001planned350.5Team AlphaEQP-0001CNC Lathe A1CNC machinePlant North, Section 12023-04-12T08:15:002023-04-12T09:05:0050Scheduled preventive maintenanceJames Leeblank15Routine schedule, no issues encounteredPerformed full lubrication and system checks
DT-10002unplanned870Team DeltaEQP-0002Conveyor Belt B2conveyorPlant West, Area 32023-06-21T14:47:002023-06-21T15:31:0044Motor overheatingMaria GomezMotor55Temperature sensor flagged high readingsReplaced motor and checked wiring
DT-10003emergency1115.75Team BravoEQP-0003Hydraulic Press C3pressPlant East, Bay 22023-05-18T11:21:002023-05-18T12:53:0092Hydraulic fluid leak detectedWei ChenSeal, Hydraulic fluid67Leak near main valve, shutdown requiredRepaired leak and replaced seals
DT-10004unplanned205Team EchoEQP-0004Welding Robot D4robotPlant South, Weld Zone2023-07-02T07:33:002023-07-02T08:05:0032Operator error, incorrect program loadedLinda Patelblank10Training refresh recommendedReloaded correct program and recalibrated sensors
DT-10005planned110Team AlphaEQP-0005Packaging Line E5packaging linePlant North, Packing Area2023-06-10T13:12:002023-06-10T13:52:0040Scheduled software upgradeKevin Tranblank7Upgrade completed successfullyInstalled update, performed system tests
DT-10006unplanned430Team BravoEQP-0006Injection Molder F6molderPlant East, Molding Hall2023-05-22T16:45:002023-05-22T18:05:0080Material jam in feederSophie KimFeeder tray20Frequent jams this monthCleared jam and replaced feeder tray
DT-10007emergency690Team EchoEQP-0007Laser Cutter G7cutterPlant West, Cutting Floor2023-04-27T09:30:002023-04-27T10:18:0048Laser misalignmentJohn MillerLens39Downtime minimized with quick responseRealigned laser and replaced worn lens
DT-10008unplanned145Team AlphaEQP-0001CNC Lathe A1CNC machinePlant North, Section 12023-07-14T10:10:002023-07-14T11:00:0050Tool wear detected during monitoringJames LeeCutting tool8Tool changed, quality restoredReplaced worn cutting tool

What the 200 rows show

from the 200-row sample

Emergency (downtime category) stands out: mean cost_impact is 800.5, against 167.1 for the rest.

  • 120.0median cost_impact
  • 41equipment types
  • 47median duration_minutes
  • 6.5median production_loss_units
Mean cost_impact by downtime_category200 rows
05001,000107.3planned89 rows255.6unplanned60 rows800.5emergency51 rows
cost_impact200 rows, in bands of 500
080160158287330102,0003,500cost_impact →

Median 120.0, from 0.0 to 3,201.

maintenance_team196 rows with a value · 4 left blank
  1. Team Alpha45
  2. Team Bravo40
  3. Team Delta35
  4. Team Gamma30
  5. Team Sigma18
  6. Team Echo10
  7. Team Beta10
  8. Team Omega8
17 columns by typefrom the column list below
  • string 12
  • integer 1
  • float 2
  • datetime 2

Columns

17 columns in three groups
blueprint · 17 columns
columntypedescriptionexample
Text 12 columns
downtime_idstringUnique identifier for each downtime event recorduniqueDT-10001
equipment_idstringUnique identifier for the equipment experiencing downtimeEQP-0001
equipment_namestringName or description of the equipmentCNC Lathe A1
equipment_typestringType or category of equipment (e.g., CNC machine, conveyor, press)CNC machine
locationstringPhysical location of the equipment (e.g., plant name, section, area)Plant North, Section 1
downtime_reasonstringShort description or code for the cause of downtime (e.g., mechanical failure, scheduled maintenance, operator error)Motor overheating
downtime_categorystringCategorization of downtime (e.g., planned, unplanned, emergency)planned · unplanned · emergencyplanned
reported_bystringName or identifier of the person who reported the downtime eventJames Lee
maintenance_teamstringName or identifier of the maintenance team assigned to resolve the downtime8 teams · optionalTeam Alpha
maintenance_action_takenstringSummary of maintenance actions performed to resolve the downtimeoptionalJoint sensors calibrated
parts_replacedstringComma-separated list of parts replaced during maintenance (if any)optionalMotor
notesstringAdditional notes or comments about the downtime eventoptionalFrequent jams this month
Numbers 3 columns
duration_minutesfloatTotal duration of the downtime event in minutes0 or more50
cost_impactfloatEstimated financial impact or cost associated with the downtime event (in local currency)0 or more · optional350.5
production_loss_unitsintegerNumber of production units lost due to downtime0 or more · optional15
Dates and times 2 columns
downtime_startdatetimeTimestamp when the downtime event started2023-04-12T08:15:00
downtime_enddatetimeTimestamp when the downtime event ended2023-04-12T09:05:00

Use it for

  • median cost im…120.0200 rowsmean cost impact by d…107.3planned255.6unplan…800.5emerge…

    A manufacturing dashboard

    Cost_impact by downtime_category and a breakdown of maintenance_team. Excel, Power BI or Tableau.

  • Why do the 51 emergency rows have a mean cost_impact of 800.5?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable downtimes with equipment_id, equipment_name and equipment_type to fill a screen in front of a buyer.

Not quite right?

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This dataset200 rows17 columns
Yours1,000 rows17 columnslocation: UK only

blueprint · industrial-equipment-downtime-logs

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 17 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Downtime start and end timestamps required.
  • Machine ID and type present.
  • Cause of downtime categorized.
  • Duration calculated in hours.
  • Preventive vs. reactive maintenance flagged.
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
industrial-equipment-downtime-logs

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