Use case: equipment uptime

Reduce equipment downtime by catching failures before they stop the plant

Most facilities still run maintenance on breakdowns and calendars. Aqueduct watches energy, vibration, sound and runtime on critical equipment, compares each asset with its own normal behavior, and raises a maintenance alert with the evidence while there is still time to plan the repair.

Powered by aQ PredictIQ
Plant equipment in an industrial hall
Compressor 2 · condition
7.1 mm/s vibration
Maintenance scheduled before failure
Demo data
AHU-1 · fault
Supply fan stopped08:02
Failed rotor shaft08:03
Routed to CMMS08:04
Airflow confirmed11:40
Demo data

A failure usually announces itself weeks before it stops anything.

The mechanism

Why equipment fails without warning

  • Reactive by default

    Work starts when something stops, so every repair is urgent and expensive.

  • Calendar maintenance

    Fixed intervals service healthy equipment and miss failing equipment between visits.

  • Signals in separate places

    Energy, vibration and alarm data sit in different systems, so the pattern is never seen together.

Industrial machinery in low light
The numbers

What better maintenance is worth

70 to 75%

fewer breakdowns reported by working predictive maintenance programs.

Source: US DOE FEMP O&M Best Practices Guide
8 to 12%

savings of predictive over preventive maintenance, and 30 to 40% where sites rely on reactive work.

Source: US DOE FEMP O&M Best Practices Guide
40,600

HVACR mechanic openings a year projected in the US to 2035, a tight labor pool.

Source: US Bureau of Labor Statistics
How it is solved

From early sign to planned repair

01

Pick the critical assets

Pumps, compressors, chillers, air handlers and fans whose failure stops operations.

02

Learn normal

Each asset's energy, vibration, sound and runtime are baselined against its own history.

03

Alert on drift

Triggers on any metric, including one from a linked sensor such as filter pressure, raise a maintenance alert.

04

Confirm the fix

After the repair, the asset's signals return to baseline and the alert closes on evidence.

What to measure

Uptime metrics by asset class

MetricWhat it tells youAct when
Reactive share of work ordersHow much work is unplannedIt stays high quarter on quarter.
Alerts raised before failureWhether warnings come early enoughFailures arrive without a prior alert.
Energy drift per assetWear and foulingUse climbs at the same load.
Sensor and device healthWhether the signal can be trustedConnection or battery degrades.
Trusted at scale
Read the case studies
Deployed275+

sites in 21 countries run on Aqueduct.

Healthcare22 hospitals

and 9 clinics in one of India’s top hospital chains.

AirportsA top 25

US airport running water intelligence on Aqueduct.

Real estate20M+ sq ft

of commercial real estate under Aqueduct.

Manufacturing300 acres

FMCG manufacturing campus.

Food and dairyMajor dairy

operations run on Aqueduct.

Questions

Common questions

Electricity meters on the asset, plus vibration and acoustic sensors where the failure mode needs them. Existing BMS points are read over BACnet or Modbus, so not every machine needs new hardware. See predictive maintenance.

Alerts carry the asset, the signal and the evidence, so the work order can be raised in the CMMS you already use without retyping. Technicians see why the machine was flagged before they reach it. See integrations.

No. The same approach covers hospital plant rooms, airport baggage systems, data center cooling and commercial HVAC, wherever a stopped machine stops service. A baggage conveyor and a chiller each get their own definition of normal. See HVAC R.

The US DOE FEMP guide finds a working predictive program beats calendar maintenance, with the largest gains at sites that mostly run to failure. Aqueduct supplies the vibration, sound and energy signals such a program runs on. See aQ PredictIQ.

See Aqueduct on your own facility.

Bring a site, a utility bill or a question. We will show you where the loss is.