Fleet Predictive Maintenance Alerts
This dataset provides comprehensive, real-time predictive maintenance alerts for transportation fleets, integrating sensor readings, AI-driven severity scoring, maintenance schedules, and operational impact estimates. Fleet managers can leverage this data to anticipate vehicle breakdowns, optimize maintenance planning, and minimize costly downtime across their operations.
Sample rows
preview · 8 of 110 rows · all 19 columns| alert_idstring | alert_statusstring | predicted_time_to_failure_hoursfloat | manager_idstring | vehicle_idstring | fleet_idstring | alert_timestampdatetime | sensor_typestring | sensor_valuefloat | sensor_unitstring | maintenance_due_datedate | last_maintenance_datedate | severity_scorefloat | predicted_failure_typestring | location_latitudefloat | location_longitudefloat | operational_impact_estimatefloat | cost_estimate_usdfloat | notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ALRT-1A2B3C4 | new | 5.2 | MNGR-101 | VHCL-1001 | FLEET001 | 2024-05-12T08:34:27Z | engine | 97.5 | °C | 2024-06-18 | 2024-03-15 | 0.91 | engine_overheat | 36.7783 | -119.4179 | 7.5 | 3200 | Engine temperature rising rapidly. Immediate inspection recommended. |
| ALRT-2D4E5F6 | acknowledged | 44.5 | MNGR-101 | VHCL-1002 | FLEET001 | 2024-05-13T10:22:11Z | brake | 5.8 | psi | 2024-07-05 | 2024-04-14 | 0.62 | brake_wear | 34.0522 | -118.2437 | 4.5 | 1200 | Brake pressure below normal. Schedule repair soon. |
| ALRT-3G7H8J9 | new | 13.8 | MNGR-102 | VHCL-1003 | FLEET002 | 2024-05-14T16:47:19Z | battery | 11.4 | volts | 2024-07-11 | 2024-04-20 | 0.76 | battery_low | 39.7392 | -104.9903 | 6 | 940 | Battery voltage dropping. Likely replacement needed soon. |
| ALRT-4K1L2M3 | resolved | 71.3 | MNGR-102 | VHCL-1004 | FLEET002 | 2024-05-15T13:18:50Z | temperature | 122.7 | °C | 2024-08-02 | 2024-02-28 | 0.46 | engine_overheat | 40.7128 | -74.006 | 3 | 600 | High engine temperature detected. Alert resolved after coolant refill. |
| ALRT-5N4O5P6 | acknowledged | 8.9 | MNGR-103 | VHCL-1005 | FLEET003 | 2024-05-16T07:03:34Z | oil_pressure | 19.2 | psi | 2024-06-20 | 2024-03-21 | 0.79 | oil_leak | 29.7604 | -95.3698 | 9 | 1800 | Oil pressure below threshold. Possible leak detected. |
| ALRT-6Q7R8S9 | acknowledged | 29.7 | MNGR-103 | VHCL-1006 | FLEET003 | 2024-05-17T15:44:06Z | transmission | 198.6 | °C | 2024-08-17 | 2024-01-30 | 0.63 | transmission_issue | 33.4484 | -112.074 | 7 | 2100 | Transmission temperature elevated. Monitor closely. |
| ALRT-7T1U2V3 | resolved | 212 | MNGR-104 | VHCL-1007 | FLEET004 | 2024-05-18T11:59:28Z | other | 3.1 | bar | blank | 2024-04-02 | 0.41 | other | 47.6062 | -122.3321 | 2 | 350 | Miscellaneous sensor variation. No immediate action required. |
| ALRT-8W4X5Y6 | new | 2.6 | MNGR-104 | VHCL-1008 | FLEET004 | 2024-05-19T12:11:45Z | engine | 104.2 | °C | 2024-07-25 | 2024-03-17 | 0.95 | engine_overheat | 41.8781 | -87.6298 | 12 | 4600 | Critical engine temperature. Immediate shutdown recommended. |
| ALRT-9Z1A2B3 | dismissed | 66.4 | MNGR-105 | VHCL-1009 | FLEET005 | 2024-05-20T18:23:05Z | brake | 3.9 | psi | 2024-06-30 | 2024-02-07 | 0.53 | brake_wear | 32.7767 | -96.797 | 3.5 | 850 | Brake wear detected but within safe limits. |
| ALRT-0C4D5E6 | acknowledged | 39.6 | MNGR-105 | VHCL-1010 | FLEET005 | 2024-05-21T19:45:39Z | temperature | 115.9 | °C | 2024-09-12 | 2024-01-12 | 0.68 | engine_overheat | 29.4241 | -98.4936 | 6.5 | 1300 | Engine temperature rising. Plan service within 2 days. |
| ALRT-1F2G3H4 | new | 3.8 | MNGR-106 | VHCL-1011 | FLEET006 | 2024-05-22T22:17:50Z | oil_pressure | 16.7 | psi | blank | 2024-03-27 | 0.82 | oil_leak | 39.9526 | -75.1652 | 10 | 2650 | Oil pressure anomaly. Potential leak risk. Immediate action required. |
| ALRT-2I3J4K5 | acknowledged | 88.2 | MNGR-106 | VHCL-1012 | FLEET006 | 2024-05-23T09:05:02Z | battery | 10.2 | volts | 2024-07-28 | 2024-03-10 | 0.59 | battery_low | 37.7749 | -122.4194 | 4.5 | 980 | Battery voltage below optimal. Schedule battery check. |
| ALRT-3L5M6N7 | acknowledged | 19.4 | MNGR-101 | VHCL-1013 | FLEET001 | 2024-05-24T11:26:13Z | transmission | 203.2 | °C | 2024-09-29 | 2024-02-08 | 0.74 | transmission_issue | 41.2565 | -95.9345 | 10.5 | 3200 | Transmission temperature sustained above normal. Plan urgent inspection. |
| ALRT-4O7P8Q9 | new | 7.1 | MNGR-102 | VHCL-1014 | FLEET002 | 2024-05-25T14:31:44Z | engine | 99.3 | °C | 2024-08-22 | 2024-03-29 | 0.88 | engine_overheat | 35.2271 | -80.8431 | 8.2 | 2750 | Engine temperature critical. Recommend immediate diagnostic. |
| ALRT-5R1S2T3 | dismissed | 141 | MNGR-103 | VHCL-1015 | FLEET003 | 2024-05-26T16:42:33Z | brake | 2.7 | psi | blank | 2024-03-12 | 0.43 | brake_wear | 42.3601 | -71.0589 | 2.2 | 470 | Brake pressure low but not urgent. Monitor during next routine check. |
| ALRT-6U3V4W5 | acknowledged | 51.4 | MNGR-104 | VHCL-1016 | FLEET004 | 2024-05-27T18:59:56Z | battery | 9.6 | volts | 2024-07-20 | 2024-02-13 | 0.58 | battery_low | 36.1627 | -86.7816 | 4 | 850 | Battery nearing end of life. Replace at next maintenance. |
| ALRT-7X5Y6Z1 | acknowledged | 27.6 | MNGR-105 | VHCL-1017 | FLEET005 | 2024-05-28T20:31:41Z | temperature | 118.4 | °C | 2024-09-22 | 2024-02-22 | 0.67 | engine_overheat | 38.9072 | -77.0369 | 7 | 1250 | Engine temp high. Schedule check-up within 36 hours. |
| ALRT-8A2B3C4 | new | 6.5 | MNGR-106 | VHCL-1018 | FLEET006 | 2024-05-29T23:14:07Z | oil_pressure | 15.9 | psi | 2024-07-04 | 2024-03-29 | 0.86 | oil_leak | 25.7617 | -80.1918 | 11 | 2980 | Oil pressure low, risk of leak. Immediate attention required. |
| ALRT-9D4E5F6 | acknowledged | 35.8 | MNGR-101 | VHCL-1019 | FLEET001 | 2024-05-30T07:03:52Z | transmission | 190.1 | °C | blank | blank | 0.61 | transmission_issue | 44.9778 | -93.265 | 7.8 | 2200 | Transmission temperature elevated. Check for fluid change. |
| ALRT-0G7H8J9 | acknowledged | 23.8 | MNGR-102 | VHCL-1020 | FLEET002 | 2024-05-31T09:14:23Z | engine | 95.7 | °C | 2024-08-23 | 2024-03-22 | 0.73 | engine_overheat | 35.0844 | -106.6504 | 8.9 | 2300 | Engine temperature at warning level. Plan service soon. |
What the 110 rows show
from the 110-row sampleDismissed (alert status) stands out: mean predicted_
- 34.5median predicted_
time_ to_ failure_ hours - 6fleets
- 6sensor units
- 6predicted failure types
- 7sensor types
- 25.0median sensor_
value
Median 34.5, from 2.6 to 320.0.
- string 9
- float 7
- date 2
- datetime 1
Columns
19 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 9 columns | |||
alert_id | string | Unique identifier for each predictive maintenance alertunique | ALRT-1A2B3C4 |
vehicle_id | string | Unique identifier for the vehicle associated with the alert | VHCL-1001 |
fleet_id | string | Identifier for the fleet to which the vehicle belongs6 fleets | FLEET001 |
sensor_type | string | Type of sensor that triggered the alert (e.g., engine, brake, temperature)7 values | engine |
sensor_unit | string | Unit of measurement for the sensor value (e.g., °C, psi, volts)6 units | °C |
predicted_failure_type | string | Predicted type of failure (e.g., engine_overheat, brake_wear, battery_low)6 values | engine_overheat |
alert_status | string | Current status of the alert (e.g., new, acknowledged, resolved, dismissed)new · acknowledged · resolved · dismissed | new |
manager_id | string | Identifier for the fleet manager responsible for this alertoptional | MNGR-101 |
notes | string | Additional notes or comments related to the alertoptional | Engine temperature rising… |
| Numbers 7 columns | |||
sensor_value | float | Sensor reading value at the time of alert | 97.5 |
severity_score | float | AI-generated severity score indicating the likelihood and impact of a breakdown (0-1 scale)0 to 1 | 0.91 |
predicted_time_to_failure_hours | float | Estimated hours until predicted failure occurs0 or more · optional | 5.2 |
location_latitude | float | Latitude of the vehicle at the time of alert-90 to 90 · optional | 36.7783 |
location_longitude | float | Longitude of the vehicle at the time of alert-180 to 180 · optional | -119.4179 |
operational_impact_estimate | float | Estimated operational impact in hours of downtime if failure occurs0 or more · optional | 7.5 |
cost_estimate_usd | float | Estimated cost in USD for repair or downtime if failure occurs0 or more · optional | 3200 |
| Dates and times 3 columns | |||
alert_timestamp | datetime | Date and time when the predictive alert was generated | 2024-05-12T08:34:27Z |
maintenance_due_date | date | Scheduled date for the next maintenance of the vehicleoptional | 2024-06-18 |
last_maintenance_date | date | Date when the last maintenance was performed on the vehicleoptional | 2024-03-15 |
Use it for
A transportation dashboard
Predicted_
time_ to_ failure_ hours by alert_ status and a breakdown of manager_ id. Excel, Power BI or Tableau. Why do the 13 dismissed rows have a mean predicted_
time_ to_ failure_ hours of 176.6? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Alerts110ALRT-1A2B3C45.2newALRT-2D4E5F644.5acknowle…ALRT-3G7H8J913.8new
A software demo
Believable alerts with vehicle_
id, fleet_ id and alert_ timestamp to fill a screen in front of a buyer.
This dataset110 rows19 columns
Yours1,000 rows19 columnslocation_latitude: UK only
blueprint · fleet-predictive-maintenance-alerts
Behind this dataset
Same schema. As many rows as you need.
These 110 rows came out of a blueprint — 19 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
- Each alert is linked to a unique vehicle ID.
- Severity score is calculated based on sensor thresholds and historical failure data.
- Alert types include engine, tire, brake, and battery issues.
- Alerts are generated when predictive model surpasses defined risk probability.
- Maintenance history is referenced to reduce false positives.
- Only vehicles with recent sensor data generate alerts.
Open the blueprint in Data Factory
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- fleet-predictive-maintenance-alerts