Use case: equipment uptime

Reduce equipment downtime in facilities with faults fixed and failures prevented

Reducing equipment downtime in facilities means fixing faults fast and stopping failures before they happen. Aqueduct diagnoses faults from equipment data, watches early signs of failure such as vibration, sound signature and energy drift, routes work into your CMMS with a recommended fix, and confirms at the meter or sensor that the equipment is back in range.

Powered by aQ PredictIQ on aQ Core, with Smart Controls
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

Faults fixed, failures prevented, and every repair confirmed by the data.

Prevent

Early signs of failure, before the equipment stops

  • Vibration

    Rising vibration on fans, pumps and compressors schedules maintenance before the wear becomes a mechanical failure.

  • Sound signature

    A new sound pattern on a compressor or pump is flagged as an early warning.

  • Energy drift

    An asset drawing more power for the same work is a sign it is degrading.

Row of stainless process tanks
Compressor 2 · condition
7.1 mm/s vibration
Maintenance scheduled before failure
Demo data
Diagnose

Faults found, explained and routed into your CMMS

  • Component level

    Faults are traced to the component, such as a fan, damper or compressor.

  • Recommended fix

    Each ticket carries the cause and a recommended fix in plain language.

  • Your CMMS

    Work routes into the CMMS you already run, with the evidence attached.

Industrial machinery in low light
AHU-1 · fault
Supply fan stopped08:02
Failed rotor shaft08:03
Routed to CMMS08:04
Airflow confirmed11:40
Demo data
Confirm

Back in range before it counts as fixed

  • Measured result

    Airflow, vibration or load must return to its baseline after the repair before the item closes.

  • Device health

    Connection rate and battery voltage per device show which sensors need attention before data goes missing.

  • New baseline

    Each confirmed repair resets the asset's baseline, so the next early warning is measured from a healthy state.

Corridor between stainless tanks
Device health
ERS-CO2 · Level 2, Zone 4
Connection rate99.2%
Battery3.61 V
Last reading1 min ago
Demo data
Old way vs the Aqueduct way

Equipment uptime, before and after Aqueduct

The old way
  • The first sign of trouble is a failure.
  • Maintenance runs on the calendar, not condition.
  • Technicians repeat the diagnosis after they arrive.
  • Dead sensors go unnoticed for weeks.
  • Repairs close without any confirmation from the data.
The Aqueduct way
  • Vibration, sound and energy drift warn first.
  • Maintenance is scheduled on early signs of failure.
  • Tickets arrive diagnosed with a recommended fix.
  • Device health flags sensors before data is lost.
  • Data confirms the asset is back in range.
Problem

Why equipment fails without warning

Most equipment gives signals before it fails. Few facilities are listening.

01

Failure is the first alert

A chiller, compressor or AHU stops, and the first signal is a hot ward, a stopped line or a complaint.

02

Calendar maintenance

Service happens on a fixed interval, too early for some assets and too late for others.

03

Diagnosis on arrival

Technicians arrive with a symptom, not a cause, and repeat the diagnosis on site.

04

Sensors go quiet

A sensor's battery dies or connection drops, and nobody notices until data is needed.

One incident, start to finish

How Aqueduct protects uptime

One compressor and one AHU, from signal to confirmation.

Monitor

Equipment points, power meters, vibration sensors and acoustic sensors report into aQ Core, with device health tracked for every sensor.

Measure

Each asset has a baseline for energy, vibration and operating state.

Identify

A compressor shows rising vibration, a new sound signature and energy drift. Separately, an AHU blower fan stops and Aqueduct diagnoses a failed rotor shaft.

Act

Compressor maintenance is scheduled before failure, and the AHU repair routes into your CMMS with the diagnosis and a recommended fix.

Verify

Airflow returns to target on the AHU and compressor vibration returns to baseline. Both items close as confirmed.

On site

What it needs on site

Existing BMS points and meters connect if they emit telemetry. New devices are installed through partners.

DeviceWhat it measures or doesWhy it matters
BMS points or field device controllerEquipment states, setpoints, alarmsFault detection from component behavior
Power meters on major assetskW, power factor, runtimeEnergy drift as an early sign of failure
Vibration sensorsVibration on rotating equipmentEarly signs of mechanical wear
Acoustic sensorsSound signatureChanges that precede failure
Differential pressure sensors (optional)Filter and coil conditionMaintenance alerts, such as filter changes
Pipework and valves in a plant room
What we believe

Equipment almost always warns before it fails, if someone is listening.

Talk to our team
Problem, solution, impact

Outcome

What changes when equipment is watched continuously.

The problemHow Aqueduct solves itThe impact
Operations

Failure is the first alert.

Early signs of failure schedule maintenance first.

Planned work instead of emergency repairs.

Operations

Technicians diagnose on arrival.

Faults arrive diagnosed with a recommended fix in your CMMS.

Shorter repairs and fewer repeat visits.

Energy

Degrading equipment wastes energy.

Energy drift tracked per asset against baseline.

Waste found as an early sign of failure.

Personas

Who cares about this

The seats that ask for this first.

Operations leaders and COOs

Uptime across sites, with verified closure.

Learn more

Building, MEP and controls engineers

Diagnosis from component states and signals.

Learn more

Facilities managers and directors

Fewer emergencies and better tickets.

Learn more
Where failure starts

The assets that stop operations, and the signal each gives first

Most equipment warns before it fails. The warning just lives in a different signal for each asset type.

Chillers

Where it goes wrong

Fouled condensers and low refrigerant push power up for the same cooling until a trip

What we measure

Feeder kW, discharge pressure, supply and return temperatures

What Aqueduct does

Flags rising energy per unit of cooling under similar conditions

Refrigeration compressors

Where it goes wrong

Bearing wear and valve damage develop for weeks before failure

What we measure

Vibration, sound signature, matched electrical input

What Aqueduct does

aQ PredictIQ schedules maintenance before the room warms

Air handlers

Where it goes wrong

Belt slip, failed rotor shafts and fans stopped without an alarm

What we measure

Fan status against command, airflow, power

What Aqueduct does

Diagnoses the component and routes the fix

Pumps

Where it goes wrong

Cavitation and impeller wear raise power and vibration

What we measure

Vibration, power, flow where metered

What Aqueduct does

Tracks energy drift against the pump's own baseline

Valves and dampers

Where it goes wrong

Stuck, hunting or disconnected actuators

What we measure

Command against feedback position

What Aqueduct does

Lists actuators that do not follow their command

Filters and coils

Where it goes wrong

Loading raises fan power and cuts airflow

What we measure

Differential pressure

What Aqueduct does

Maintenance alert on condition, not calendar

Sensors themselves

Where it goes wrong

Dead batteries and lost connections hide every other signal

What we measure

Connection rate, battery or capacitor voltage

What Aqueduct does

Device health names the sensor to replace

Fault or early warning

Two kinds of finding, handled differently

A fault is already happening. An early warning is a trend toward one. Aqueduct treats them differently because the right response is different.

FaultEarly warning
ExampleAHU supply fan stopped while commanded onCompressor vibration rising over three weeks
SignalCommand against feedback, status, alarmsVibration, sound signature, energy drift
UrgencyNow: comfort, product or process at riskPlanned: book a window before failure
Ticket contentComponent, evidence, recommended fixTrend, likely cause, suggested window
Closes whenAirflow or status returns to targetSignal returns to the asset's baseline
ModuleaQ Core and Smart Controls dataaQ PredictIQ
How it rolls out

From critical asset list to planned maintenance

Start with the assets whose failure costs the most, then widen.

1
Weeks 1 to 2

Name the critical assets

Operations and engineering agree the list: the chillers, compressors, pumps and air handlers whose failure stops a ward, a line or a cold room.

2
Weeks 2 to 4

Connect and add sensors

BMS points and power meters connect. Vibration and acoustic sensors are fitted through partners on rotating equipment.

3
Weeks 4 to 8

Learn each asset's baseline

Normal vibration, power and operating patterns are learned per asset, so drift is measured from a healthy state.

4
Month 3 onward

Planned work replaces emergencies

Early warnings become scheduled work orders in your CMMS, and every repair closes only when the data confirms it.

Who gains what

What changes for each team when equipment is watched

Maintenance

Work moves from emergency call-outs to planned windows, with the cause and a recommended fix on the ticket before anyone leaves the workshop.

Operations

Fewer stopped lines, warm wards and lost cold rooms, and a standing list of the assets most likely to fail next.

Engineering

Component-level evidence for root cause, and a record of whether each repair actually brought the asset back to its baseline.

Finance

Repair spend shifts from premium emergency rates to scheduled work, and degrading assets show their energy cost before they fail.

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.

AirportsTop 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

Catch faults quickly, act on early signs of failure, and confirm every repair. Aqueduct diagnoses faults from equipment data, schedules maintenance when vibration, sound signature or energy drift change, and routes work into your CMMS.

Fault detection and diagnostics acts after a fault has happened: it finds, diagnoses and fixes it. Predictive maintenance acts before failure: early signs such as rising vibration schedule maintenance first. Aqueduct does both.

Vibration, sound signature and energy drift on equipment such as compressors, pumps, fans and chillers, plus differential pressure for filters where sensors are installed.

No. Aqueduct integrates with your CMMS. It routes faults and maintenance requests with a diagnosis and recommended fix; technicians, inventory and work orders stay in your CMMS.

The device health tab shows connection rate and battery or capacitor voltage per sensor, so teams replace the right device before data gaps affect decisions.

Where control is enabled with owner approval, Aqueduct can change schedules and setpoints through relays or field device controllers, with lockouts and full command history.

Rotating equipment whose failure stops something important: refrigeration compressors, chiller compressors, critical pumps and supply fans. Assets with a history of unplanned failure are a good place to start.

Typically several weeks of operation across normal load patterns. The baseline keeps improving, and each confirmed repair resets it to a healthy state.

Yes. Existing alarms and points connect over BACnet or Modbus. Aqueduct adds command against feedback, energy drift and condition signals that most BMS alarm lists do not cover.

Device health shows its connection rate and voltage falling, so it is replaced before the data gap hides a real problem.

Not entirely. Statutory and manufacturer inspections still apply. Condition data lets you bring forward work on assets that are degrading and question work on assets that are healthy.

See Aqueduct on your own facility.

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