Humach Manufacturing: Predictive Maintenance
Detect early failure signals from sensors and reason about recall, false alarms and drift.
Download mini_manufacturing.csvUse Python, SQL, Excel or your preferred workflow unless a task specifies otherwise.
Project dataset
Download CSVInspect the CSV before you answer the tasks
Scroll horizontally or vertically to examine the exact miniature data used by the validator.
| sensor_id | vibration | temperature_c | pressure | hours_since_service | failure_next_24h |
|---|---|---|---|---|---|
| 1 | 1.32 | 57 | 99 | 37 | 0 |
| 2 | 1.44 | 59 | 100 | 74 | 0 |
| 3 | 1.56 | 61 | 101 | 111 | 0 |
| 4 | 1.68 | 63 | 102 | 148 | 0 |
| 5 | 1.8 | 65 | 103 | 185 | 0 |
| 6 | 1.92 | 67 | 104 | 222 | 0 |
| 7 | 2.04 | 69 | 105 | 259 | 0 |
| 8 | 2.16 | 71 | 98 | 296 | 0 |
| 9 | 2.28 | 73 | 99 | 333 | 0 |
| 10 | 2.4 | 75 | 100 | 370 | 0 |
| 11 | 2.52 | 55 | 101 | 407 | 0 |
| 12 | 1.2 | 57 | 102 | 444 | 0 |
| 13 | 1.32 | 59 | 103 | 481 | 0 |
| 14 | 1.44 | 61 | 104 | 18 | 0 |
| 15 | 1.56 | 63 | 105 | 55 | 0 |
| 16 | 1.68 | 65 | 98 | 92 | 0 |
| 17 | 1.8 | 67 | 99 | 129 | 0 |
| 18 | 1.92 | 69 | 100 | 166 | 0 |
| 19 | 3.44 | 83 | 101 | 203 | 1 |
| 20 | 2.16 | 73 | 102 | 240 | 0 |
| 21 | 2.28 | 75 | 103 | 277 | 0 |
| 22 | 2.4 | 55 | 104 | 314 | 0 |
| 23 | 2.52 | 57 | 105 | 351 | 0 |
| 24 | 1.2 | 59 | 98 | 388 | 0 |
| 25 | 1.32 | 61 | 99 | 425 | 0 |
| 26 | 1.44 | 63 | 100 | 462 | 0 |
| 27 | 1.56 | 65 | 101 | 499 | 0 |
| 28 | 1.68 | 67 | 102 | 36 | 0 |
| 29 | 1.8 | 69 | 103 | 73 | 0 |
| 30 | 1.92 | 71 | 104 | 110 | 0 |
| 31 | 2.04 | 73 | 105 | 147 | 0 |
| 32 | 2.16 | 75 | 98 | 184 | 0 |
| 33 | 2.28 | 55 | 99 | 221 | 0 |
| 34 | 2.4 | 57 | 100 | 258 | 0 |
| 35 | 2.52 | 59 | 101 | 295 | 0 |
| 36 | 1.2 | 61 | 102 | 332 | 0 |
| 37 | 1.32 | 63 | 103 | 369 | 0 |
| 38 | 2.84 | 77 | 104 | 406 | 1 |
| 39 | 1.56 | 67 | 105 | 443 | 0 |
| 40 | 1.68 | 69 | 98 | 480 | 0 |
| 41 | 1.8 | 71 | 99 | 17 | 0 |
| 42 | 1.92 | 73 | 100 | 54 | 0 |
| 43 | 2.04 | 75 | 101 | 91 | 0 |
| 44 | 2.16 | 55 | 102 | 128 | 0 |
| 45 | 2.28 | 57 | 103 | 165 | 0 |
| 46 | 2.4 | 59 | 104 | 202 | 0 |
| 47 | 2.52 | 61 | 105 | 239 | 0 |
| 48 | 1.2 | 63 | 98 | 276 | 0 |
| 49 | 1.32 | 65 | 99 | 313 | 0 |
| 50 | 1.44 | 67 | 100 | 350 | 0 |
| 51 | 1.56 | 69 | 101 | 387 | 0 |
| 52 | 1.68 | 71 | 102 | 424 | 0 |
| 53 | 1.8 | 73 | 103 | 461 | 0 |
| 54 | 1.92 | 75 | 104 | 498 | 0 |
| 55 | 2.04 | 55 | 105 | 35 | 0 |
| 56 | 2.16 | 57 | 98 | 72 | 0 |
| 57 | 3.68 | 71 | 99 | 109 | 1 |
| 58 | 2.4 | 61 | 100 | 146 | 0 |
| 59 | 2.52 | 63 | 101 | 183 | 0 |
| 60 | 1.2 | 65 | 102 | 220 | 0 |
Project workspace
Analyse → validate → submit.
Numeric and decision tasks are auto-checked. Written reasoning is checked for completeness and key ideas, then included in your local submission report.
0/5 validated
How many rows are labelled failure_next_24h=1?
What is the maximum vibration value?
If vibration sensors are recalibrated, what should you monitor?
Describe one operational cost of false positives in predictive maintenance.
Submit your project locally
HumachLearn stores no server-side data. Submission creates a portable JSON report containing your answers, validation state and timestamp.