Predictive maintenance software for HVAC chillers with sensor integration
Aug 1 – Oct 26, 2026Updated Oct 26, 2026
Reviewed by Dimitry Apollonsky
Which brands AI mentions
Questions and answers
Google AI ModeOct 26, 2026
Moving away from manual logs to automated predictive maintenance (PdM) for HVAC chillers is a major upgrade, especially for tracking high-speed components like
centrifugal or screw compressor bearings.To capture vibration and temperature data directly, software platforms generally fall into two categories: CMMS/EAM software with IoT/API integration layers (which ingest data from third-party wireless sensors) and Dedicated Machinery Health platforms (which use proprietary hardware/software ecosystems).
1. CMMS & Facility Software with Open Sensor Integration
These platforms don't force you into a specific sensor brand; they use standard protocols (MQTT, REST API, Modbus) to ingest real-time vibration and temperature data and instantly spawn work orders when thresholds are breached.
-
- OxMaint AI : Highly adaptable for HVAC and facility management. It integrates directly with wireless IIoT vibration/temperature nodes (such as Banner Engineering, Dwyer, or custom edge gateways) via MQTT and REST APIs. When vibration velocity or surface temperature anomalies cross your limits, it automatically auto-generates prioritized work orders.
-
- iFactory AI : Built specifically for HVAC and industrial equipment predictive maintenance. It connects straight to existing Building Management Systems (BMS/BAS via BACnet or Modbus) or retrofitted wireless vibration and temperature sensors. Its machine learning models specifically target chiller failure modes (bearing wear, compressor degradation, and refrigerant/approach temperature anomalies).
-
- UpKeep / eMaint (Fortive) : Traditional enterprise CMMS platforms that feature robust IoT integration capabilities. They allow you to pull telemetry data from sensor networks (like Fluke or Omega IoT gateways) directly into asset health logs to trigger automated work requests.
2. Specialized Machinery Health & Vibration Platforms
If your chillers suffer from severe or legacy mechanical stress and you need deep FFT (Fast Fourier Transform) spectral analysis—rather than just basic high/low threshold alerts—specialized reliability platforms are a better fit.
-
- Emerson AMS Machine Works : Pairs with Emerson’s wireless tri-axial vibration and temperature transmitters. It provides high-bandwidth spectral analysis (including PeakVue for early-stage bearing fault detection on compressor motors) and integrates into plant control and historian frameworks.
-
- Fluke Reliability (Omnitrend / PRUFTECHNIK) : Offers continuous online vibration and temperature monitoring hardware paired with Fluke Software / Omnitrend Center . Ideal if your team wants high-precision diagnostic software that handles complex rotating machinery failure patterns.
To help narrow down the best platform fit, let me know:
- Are you looking to retrofit wireless sensors to existing chillers, or do you already have a BMS/BAS collecting data?
- Do you prefer an all-in-one CMMS that creates work orders, or a specialized vibration analysis tool for deep engineering diagnostics?
Sources cited in this answer12
- oxmaint.comHVAC Chiller Predictive Maintenance Using IoT Sensors
- oxmaint.comWireless Vibration & Temperature Sensors for Predictive Maintenance | OxMaint
- oxmaint.comCombined Vibration & Temperature IIoT Sensors for Plants
- oxmaint.comCondition Monitoring Systems: Sensors, Data & CMMS Integration Guide
- ifactoryapp.comHVAC Predictive Maintenance — Chiller & AHU AI
- ifactoryapp.comIoT Sensors for HVAC Monitoring: Temperature, Vibration ...
ChatGPTOct 26, 2026
For HVAC chillers, I’d focus on predictive maintenance platforms that can ingest live vibration and temperature data directly from sensors, detect abnormal operating patterns, and alert your maintenance team before a compressor, motor, bearing, or pump fails.
The key distinction is between software that connects to industrial sensors or gateways and software that primarily analyzes data imported from manual inspections or a building management system (BMS). For your team, the strongest candidates are platforms that support continuous monitoring, automated fault detection, and maintenance work-order integration.
Platforms worth shortlisting
1. UpTime CM — Best fit for chiller-specific monitoring
(First to evaluate)
UpTime's UpCast platform is specifically designed for chiller condition monitoring. It brings vibration, temperature, and ultrasound data into one system, with analytics, prioritized maintenance work orders, and CMMS/EAM integration. Its Brick T1SX hardware can connect existing wired chiller sensors, potentially avoiding a complete sensor replacement.
Best for: Teams that want to replace manual chiller inspection logs with continuous monitoring and actionable maintenance alerts.
Website:
2. Emerson AMS Machine Works — Best for detailed mechanical diagnostics
Emerson's AMS ecosystem connects with wireless vibration monitors and online asset-monitoring devices that collect vibration and temperature data. Machine Works supports trend analysis, vibration spectra, waveform analysis, and diagnosis of issues affecting compressors, motors, pumps, and bearings.
Best for: Critical chillers where compressor reliability, bearing condition, and early fault detection justify deeper vibration analysis.
Integration note: Confirm the required sensor hardware and gateway, and how alerts will transfer into your CMMS.
Website:
3. ifm moneo — Best for flexible sensor integration
ifm combines its industrial vibration and temperature sensors with IO-Link connectivity and moneo IIoT software. The platform supports live machine-condition data, automated vibration analysis, alarm configuration, and data transfer to higher-level systems.
Best for: Facilities that want to standardize sensors across multiple chillers, pumps, cooling-tower fans, and motors.
Integration note: Check compatibility with your existing sensor models and whether your current BMS or PLC can supply the necessary data.
Website:
4. ABB Ability Genix APM — Best for enterprise-wide asset management
Genix APM uses machine learning and AI to monitor vibration, temperature, equipment loading, and other operating parameters. It combines condition data from different sources to generate predictive and prescriptive maintenance insights.
Best for: Large facilities with multiple chillers, extensive rotating equipment, and a need to consolidate maintenance intelligence across the site.
Integration note: Validate which sensor interfaces and data connectors are required for your installation.
Website:
5. Monixo Wiserun — Best for a sensor-plus-software package
Monixo provides vibration, temperature, acoustic, and electrical monitoring through its own sensor ecosystem. Its Wiserun platform offers cloud analytics, alerts, remaining-useful-life estimation, and CMMS/ERP integration through an API.
Best for: Teams that prefer a packaged sensor-to-alert solution rather than assembling multiple vendors' components.
Integration note: Ask for references involving centrifugal or screw chillers, since general rotating-machinery capability does not automatically establish chiller-specific diagnostic performance.
Website:
Quick comparison
Platform Direct sensor pathway Chiller-specific focus Work-order integration UpTime CM Existing wired sensors and compatible monitoring hardware Strong Yes, CMMS/EAM Emerson AMS Wireless vibration monitors and online monitoring devices General machinery; relevant to compressors Further integration may be needed ifm moneo Industrial sensors, IO-Link and gateways General machinery Verify target CMMS workflow ABB Genix APM Multiple industrial data sources and interfaces Enterprise asset monitoring Validate implementation Monixo Wiserun Proprietary sensors and dedicated connectivity General machinery Yes, via API This comparison reflects published capabilities, not a guarantee that every sensor model will connect without additional hardware.
What I would prioritize for HVAC chillers
Before purchasing, make each vendor demonstrate these five capabilities using one of your actual chillers:
- Direct data collection: Read vibration and temperature automatically, with no technician entering readings.
- Chiller-relevant fault detection: Identify bearing degradation, imbalance, misalignment, abnormal compressor vibration, and temperature excursions.
- Operating-context awareness: Correlate sensor readings with compressor speed, load, chilled-water temperatures, and operating state to reduce false alarms.
- Automated maintenance workflow: Generate alerts and, ideally, create or prioritize work orders in your existing CMMS.
- Existing-system compatibility: Document the required accelerometers, temperature probes, gateways, wiring, protocols, and any recurring licenses.
One important distinction: monitoring a compressor's vibration and bearing temperature is not the same as predicting every chiller failure. Refrigerant-side problems, heat-exchanger fouling, and efficiency degradation may require additional pressure, flow, electrical, or BMS data.
My recommendation
Start with UpTime CM and Emerson AMS if the primary goal is preventing chiller and compressor failures. Include ifm moneo if you want a flexible sensor ecosystem that can expand to pumps and cooling towers. The best choice depends heavily on your existing instrumentation and maintenance software.
One question that would narrow this down considerably: Are your chillers already equipped with vibration and temperature sensors, or would you be installing new sensors?
Sources cited in this answer13
- uptimecm.comChiller Condition Monitoring & Predictive Analytics
- emerson.comAMS Machine Works | Asset Condition Monitoring & Predictive Maintenance Software
- ifm.commoneo IIoT Software: AI-Driven Insights & Predictive Maintenance - ifm
- new.abb.comABB Genix™ | Asset Performance Management (APM) - ABB Genix™ Industrial IoT and AI Suite Genix™ Industrial IoT and AI Suite | ABB
- monixo.comThe Wiserun Platform | Monixo Predictive Maintenance Software
- uptimecm.comChiller Condition Monitoring & Predictive Analytics
-
ChatGPTOct 16, 2026
For HVAC chiller predictive maintenance, I’d prioritize platforms that can ingest both vibration and temperature data directly from field sensors, correlate those signals with chiller operating conditions, and turn detected anomalies into actionable maintenance alerts or work orders.
One important distinction: some platforms specialize in chiller diagnostics, while others are broader industrial predictive-maintenance systems that can connect to chillers through gateways, industrial protocols, or APIs.
Best-fit platforms to evaluate
1. UpTime Solutions UpCast
(Strongest chiller-specific fit)
UpTime offers dedicated chiller condition monitoring, wireless vibration and temperature sensors, and an interface for existing wired sensors. Its Brick T1SX gateway supports up to seven accelerometers and seven process channels, while UpCast provides analytics, alerts, and CMMS/EAM work-order integration.
Best for: compressor, motor, pump, and bearing health monitoring.
2. DATOMS Climate Intelligence
(Best for HVAC fleet visibility)
Designed for multi-OEM HVAC and chiller installations, DATOMS supports BACnet/IP, Modbus RTU/TCP, MQTT, and OPC UA. It combines temperature, pressure, energy, and performance data with detection of vibration anomalies and other equipment issues. Confirm the specific vibration sensor or gateway you intend to use.
Best for: multiple chillers, existing BMS infrastructure, and energy-performance analytics.
3. ACS Connect
ACS Connect reads chiller component data through the machine's native network and supports precision vibration sensors for analyzing compressor acoustic and vibration signatures. It is particularly relevant if you want diagnostics tied closely to the chiller's internal operation rather than only external sensor trends. Verify temperature-sensor compatibility and the scope of predictive analytics with the provider.
Best for: chiller-specific diagnostics and OEM-style troubleshooting.
4. OxMaint
OxMaint describes chiller monitoring through vibration, temperature, pressure, and other sensor inputs, with BACnet, Modbus, and API integration options. Its maintenance workflow connects anomalies to prioritized work orders and equipment history. Confirm which sensor models and data rates are supported for your installation.
Best for: facilities that want predictive alerts integrated with maintenance execution.
Chiller predictive maintenance
5. Monixo Wiserun
Wiserun combines vibration and temperature sensing with cloud analytics, machine learning, remaining-useful-life estimation, alerts, and API integration with CMMS/ERP systems. It is a broader industrial solution rather than a dedicated HVAC platform, so validate chiller-specific diagnostic models and sensor connectivity.
Best for: industrial facilities looking for broader predictive-maintenance capabilities.
Comparison at a glance
Platform Direct vibration + temperature sensing Existing sensor integration Maintenance workflow UpTime UpCast Yes, dedicated sensors Yes, wired and wireless CMMS/EAM work orders DATOMS Verify specific sensor setup BACnet, Modbus, MQTT, OPC UA Alerts and analytics ACS Connect Vibration supported; verify temperature Native chiller network Chiller diagnostics OxMaint Supports sensor data; verify hardware BACnet, Modbus, API Work orders and asset history Monixo Wiserun Yes, sensor ecosystem Gateway connectivity; verify third-party support CMMS/ERP via API Based on published vendor capabilities; direct compatibility with a particular sensor model still needs confirmation.
What I would verify before choosing
For a serious chiller deployment, ask each vendor these five questions:
- Sensor compatibility: Can you connect our exact accelerometers, vibration transmitters, RTDs, thermocouples, or wireless sensors without replacing them?
- Vibration data fidelity: Does the platform receive raw waveforms and FFT spectra, or only summary values such as RMS vibration and peak acceleration?
- Chiller-specific analytics: Can it detect bearing wear, shaft misalignment, compressor surge, refrigerant-related issues, and heat-exchanger fouling?
- Connectivity: Does it support our existing BMS and protocols, or require a proprietary gateway?
- Deployment and integration: Can it run on-premises or in our cloud, and can alerts automatically create work orders in our CMMS?
One technical detail matters: temperature and vibration sensors mounted on a compressor or motor diagnose mechanical health, while chiller operating temperatures and pressures help diagnose thermodynamic performance. The strongest solution combines both data sources.
My recommendation
Start with UpTime UpCast if your main objective is mechanical predictive maintenance for chillers using vibration and temperature sensors. Shortlist DATOMS as well if you need to integrate a wider HVAC fleet and existing building automation systems.
To narrow this to the best three options for your situation: are you looking to connect sensors you already have installed, or are you open to buying a complete solution with new sensors and gateways?
Sources cited in this answer10
- uptimecm.comChiller Condition Monitoring & Predictive Analytics
- datoms.ioHVAC & Chiller Monitoring Platform | DATOMS Climate Intelligence
- americanchiller.comACS Connect
- oxmaint.comHVAC Chiller Predictive Maintenance Using IoT Sensors
- monixo.comThe Wiserun Platform | Monixo Predictive Maintenance Software
- uptimecm.comChiller Condition Monitoring & Predictive Analytics
Google AI ModeOct 16, 2026
When implementing predictive maintenance (PdM) for HVAC chillers with direct vibration and temperature sensor integration, you need
platforms capable of ingesting high-frequency vibration data (acceleration, velocity, demodulation) alongside thermal metrics (bearing temps, refrigerant/water delta-T).The top platforms supporting direct multi-parameter sensor integration for industrial and commercial chillers include:
- Tractian : Offers integrated hardware and software combining plug-and-play IoT vibration/temperature sensors (Smart Trac) with an automated CMMS platform. It tracks machine health, vibration spectra, and operating temperatures in real-time with automatic fault diagnostics tailored for rotating equipment like centrifugal and screw compressor chillers.
- Siemens Senseye Predictive Maintenance : A machine-agnostic PdM platform that connects flexibly to existing IoT data pipelines, SCADA, or disparate vibration/temperature sensors via open protocols (MQTT, OPC UA). It excels at automated remaining useful life (RUL) forecasting and anomaly detection across large HVAC fleets.
- Nanoprecise Sci Corp : Specializes in multi-parameter wireless sensors measuring continuous high-speed vibration, acoustics, and temperature. Their automated AI-driven cloud platform provides ultra-early detection of mechanical wear, unbalance, and bearing degradation in chiller compressors.
- iFactory (by Senseering / custom industrial IoT frameworks) : Highly regarded for chiller plant specific feature-fusion. It fuses controller telemetry (approach temperatures, refrigerant pressures) with direct compressor vibration envelope data and surface temperature nodes into a unified thermodynamic and mechanical health model.
- Banner Engineering (Wireless Vibration & Temperature Solutions) : While traditionally a hardware and edge-gateway provider (using DXM controllers and QM30VT sensors), Banner integrates seamlessly with enterprise cloud platforms and software via Modbus and MQTT, making it a robust choice if you need the localized sensor-to-gateway architecture before pushing data to a primary CMMS/PdM dashboard.
To help narrow down the best platform fit, please share:
- Are you looking for a turnkey hardware + software solution (sensors and platform bundled), or an agnostic software platform to connect existing sensors?
- What communication protocol do your current or preferred sensors use (e.g., Modbus, MQTT, OPC UA, or proprietary wireless)?
Sources cited in this answer4
Also asked as
- Are there any predictive maintenance platforms for HVAC chillers that support direct integration with vibration and temperature sensors? We are trying to replace our manual logging process.