Vibration monitoring and motor current signature analysis now run alongside thermal drift tracking, ranking developing chiller faults by risk so operators gain four to ten weeks of usable warning before a fault reaches protective shutdown.
Chiller-health analytics at CETA System Co., Limited now read vibration signals and motor-current waveforms simultaneously with thermal patterns, surfacing bearing wear four to eight weeks before failure and winding deterioration four to ten weeks ahead of fault. The Hong Kong technology company has expanded the predictive maintenance its platform delivers for chillers, adding a condition-based monitoring layer that ranks developing faults by risk rather than raising raw threshold alarms.
The commercial logic behind the layer rests on a cost differential that facilities teams already recognise. Published engineering data places reactive repair costs at roughly three to nine times the expense of planned maintenance, which makes the interval between an early signal and a conventional alarm the point at which operating cost and outage exposure are decided.
Chillers carry the burden of cooling continuity yet remain among the more lightly monitored assets in a critical facility. Compressor failures account for approximately 40% of all chiller outage events on record, the single largest failure mode across commercial cooling systems, and unplanned repairs in mid-to-large commercial buildings typically range from $18,000 to $65,000 per event, excluding business disruption costs. Tube fouling, the primary cause of water-cooled chiller problems, develops across months, while rising condenser approach temperatures, higher compressor ampere draw at constant load and abnormal pressure differentials surface in telemetry weeks before threshold-based systems flag anything.
The company’s Chief Executive Officer, Lee Tsz-Hin, places the shortfall in system design rather than in staffing, noting that “building management systems cannot detect every fault, and the gaps they leave are structural”. Those gaps are wired into the design of building management systems, since condenser water temperature, chilled water supply temperature, cooling tower performance and pump operations must be coordinated simultaneously while most control systems lack the algorithms to optimise them as a unified system.
Vibration monitoring supplies CETA System with its earliest read on mechanical degradation. Bearing wear produces broadband noise and characteristic frequency spikes at known bearing defect frequencies, giving 30 to 90 days of advance warning across most chiller types, and detection coverage reaches 85% of chiller failures where vibration analysis is coupled with temperature condition monitoring. Wear of that kind accounts for 40% of chiller failures overall.
Motor current signature analysis extends the same principle to the electrical domain, resolving frequency components in the current waveform that match known faults. Broken rotor bars generate sideband frequencies around the supply frequency, identified one to two severity stages earlier than vibration analysis flags the same condition, although reliable results require at least 40% motor load. Combined detection accuracy exceeds 97% across all motor fault types.
The platform processes more than 22 parameters every 60 seconds, building continuous models of chiller behaviour rather than watching readings in isolation. A bearing-specific frequency amplitude rising 34% over 60 days, set against an iron particle count climbing from 12 to 28 ppm, indicates an outer race defect with 87% confidence and 400 to 800 operating hours to failure. Lee places the value in correlation rather than in any single reading, observing that “the operational value lies in how readings move together over time, not in isolated threshold breaches”.
Failure probability scores per chiller sit alongside time-to-threshold estimates for each monitored parameter, so detection converts into scheduled work rather than a longer alarm queue. Work orders carry the fault identification, estimated time to failure and recommended repair action.
Condition-based monitoring provides actionable advance warning on 78% of common chiller failure modes, while the remaining 22% consist of sudden-onset events such as electrical shorts and seal failures that call for redundancy rather than predictive intervention. Operators retain oversight and decision authority throughout, with the platform advisory-first under hard constraints and failsafe modes governing any automated response. Lee is equally direct about that boundary, describing the capability as one that “provides advance warning, not a guarantee against sudden-onset failure”.
Emergency chiller repairs typically range from $60,000 to $250,000 depending on failure type and equipment size, once service premiums, overtime labour and expedited shipping are added. Planned interventions come in at approximately one-third to one-ninth of that, and early detection provides an average of two to six months between initial warning and functional failure, enough to schedule work inside planned outage windows rather than forcing an emergency response.
Consolidated visibility across distributed infrastructure allows CETA System to manage multiple chilled-water plants through a single interface, with interventions timed to when fouling actually develops rather than to fixed six-month cleaning cycles. Condition-based monitoring on that basis functions as operating infrastructure rather than a diagnostic add-on, directing resources towards the highest-risk assets first with human oversight retained throughout.
About CETA System
CETA System Co., Limited is a Hong Kong-incorporated technology company, founded in 2017, that builds artificial-intelligence solutions for data-centre infrastructure. Its vendor-agnostic platform pairs HVAC and chiller-plant energy optimisation with predictive maintenance for assets such as UPS systems, generators and chillers, integrates with existing building-management and DCIM environments, and follows an advisory-first deployment model for colocation, enterprise and hyperscale operators across Asia-Pacific and beyond.
- Website: https://cetasystem.com
- Registered business: CETA System Co., Limited (Hong Kong BRN 67731517; CRN 2533166)he shareholder register.