# Equipment failure · Use cases · Dscvry

> Apply Dscvry to equipment failure: connect maintenance history, alarms and operating data to spot failure patterns and warn what may fail next.

Source: https://dscvryai.com/use-cases/equipment-failure/

# What fails next?

Know what fails next. Every alarm. Every work order. Every signal.

See it worked through ·

1. [Home](https://dscvryai.com/)
2. [Use cases](https://dscvryai.com/#use-cases)
3. Equipment failure

## Failures announce themselves. Quietly.

Most breakdowns leave a trace weeks ahead: a vibration creeping up, a temperature that no longer settles, a repair that keeps coming back. The signs sit in historians, alarm logs and work orders that nobody reads together.

### Signals in silos.

Sensor data lives in the historian, repair history in the maintenance system, alarms in the control system. They are never lined up.

### Alarms nobody trusts.

Thresholds fire so often they get muted. The one that mattered looks like all the others.

### Recognised afterwards.

The pattern is spotted after the failure, by the engineer who fixed the last one.

## What the AI reads.

Operating signals, alarms and the full repair history of each asset, lined up on one timeline and compared with how past failures began.

### In

- Sensor history
- Alarm & event logs
- Work orders
- Failure reports
- OEM manuals
- Operating context

### At work

1. [Sense](https://dscvryai.com/technology/sense/) Reads sensor streams, alarm logs and repair reports.
2. [Understand](https://dscvryai.com/technology/understand/) Lines each asset’s signals and history up on one timeline.
3. [Check](https://dscvryai.com/technology/check/) Compares today’s pattern with how past failures began.
4. [Anticipate](https://dscvryai.com/technology/anticipate/) Warns what may fail next, and roughly when.
5. [Operate](https://dscvryai.com/technology/operate/) Raises the work order with the evidence attached.

### Out

One asset watchlist. Every warning shows its evidence.

## Warnings you can check, not just trust.

Every warning shows the signal, the history and the past failure it resembles, so a reliability engineer can agree or disagree in a minute.

Asset watchlist · Why it's flagged · Work request ·

Condition watch · Area 3 Illustrative

**9** normal · **2** drifting · **1** failure pattern

| Tag | Asset | Status | Signal | Owner |
|---|---|---|---|---|
| Pumps | | | | |
| P-3101 | Feed pump | Normal | Vibration steady at baseline | Rotating |
| P-3102 | Feed pump | Normal | Vibration steady at baseline | Rotating |
| P-3107 | Transfer pump | Failure pattern | Drive-end vibration rising for 9 days | Rotating |
| P-3110 | Booster pump | Normal | Seal flush pressure normal | Rotating |
| Compressors & motors | | | | |
| K-3201 | Compressor | Drifting | Discharge temperature not settling | Rotating |
| K-3202 | Compressor | Drifting | Oil pressure trending down | Rotating |
| M-3305 | Mixer motor | Normal | Current within band | Electrical |
| M-3306 | Mixer motor | Normal | Current within band | Electrical |
| Heat exchange & tanks | | | | |
| E-3410 | Cooler | Normal | Approach temperature stable | Static |
| E-3411 | Cooler | Normal | Approach temperature stable | Static |
| E-3412 | Heater | Normal | Duty within design | Static |
| T-3501 | Buffer tank | Normal | Level control normal | Instrument |

Illustrative example. Assets, readings and dates are fictional.

## Built for the operations floor.

Condition data lives on the plant network. The AI can run there too.

### Runs next to the historian.

On-premise or at the edge, reading the systems you already run.

Deployment options
https://dscvryai.com/#deployment

### Explains every warning.

Each warning shows the signal and the past failure it resembles. No black-box scores.

How Anticipate works
https://dscvryai.com/technology/anticipate/

### Sharper with every repair.

Every confirmed or dismissed warning is recorded, so the next one is better informed.

How Check works
https://dscvryai.com/technology/check/

## Same records. Other problems.

The history behind a failure answers other questions too.

What needs maintenance, and when?

### Maintenance planning

Decide what should be maintained, and when.

See how →
https://dscvryai.com/use-cases/maintenance-planning/

What’s blocking the restart?

### Plant restart

Decide what’s ready and what’s blocking restart.

See how →
https://dscvryai.com/use-cases/plant-restart/

What runs out before the next delivery?

### Stock shortages

Anticipate shortages before they become a problem.

See how →
https://dscvryai.com/use-cases/stock-shortages/

Is this part defective?

### Defect inspection

Catch defects on the line, not at the customer.

See how →
https://dscvryai.com/use-cases/defect-inspection/

Manufacturing solution
https://dscvryai.com/solutions/manufacturing/

More in Operations
https://dscvryai.com/#use-cases

Every use case
https://dscvryai.com/use-cases/

## Bring us the failure you didn’t see coming.

Send the history leading up to it. We’ll show you when the AI would have raised a warning.

[Talk to us →](https://dscvryai.com/contact/?topic=Equipment%20failure%20inquiry)

**London**Discovery AI Limited · United Kingdom

**Hyderabad**ReDscvry Technology Private Limited · India

**Chennai**ReDscvry Technology Private Limited · India