APM Studio & Platform

APM Studio object model for an electrical grid, showing classes for power grid, grid infrastructure, grid equipment, substations, power plant, power tower, electrical line, transformer, regulator bank, voltage regulator, circuit switch and circuit breaker, each with its property table.

Object Models in APM & APM Studio

Object models give a conceptual representation of objects, their attributes and behaviours, and the relationships between them in an APM application.

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Property reference table for an OPC UA connection, listing endpoint URL, security policy, message security mode, authentication settings, username, password, certificate, private key, remote host and name, each with its description.

Data Interfacing with APM & APM Studio

Data interfacing in APM Studio varies by connector type, and each interface has its own set of properties to configure – as with OPC UA.

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Architecture diagram: several APM Studio clients connected to a central APM server, which exchanges data with external systems through data interfaces and connects to a time series database, project definitions and APM services.

Introduction: APM & APM Studio

Learn how to quickly build solutions for Condition Based Monitoring (CBM), Predictive Maintenance (PdM) and deploy AI/ML models with APM Studio.

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Control valves with pneumatic actuators mounted on pipework in a district heating station.

Control Valves in District Heat Transfer Stations Need Help

How UReason’s Control Valve App changed maintenance for a district heating utility, enabling predictive and prescriptive strategies.

Control Valves in District Heat Transfer Stations Need Help Read Post »

Aerial view of a shipyard and industrial site beside a river, with workshops, parked vehicles and vessels at the quayside.

UReason Supports Damen In First Steps Towards Predictive Maintenance

Damen is piloting its first predictive maintenance efforts with APM Studio, gaining accurate insight into how its assets are performing.

UReason Supports Damen In First Steps Towards Predictive Maintenance Read Post »

UReason supports Aquafin with data driven maintenance

APM Studio lets Aquafin analyse the root causes of event and alarm floods in real time, saving man hours and lifting process efficiency.

UReason supports Aquafin with data driven maintenance Read Post »

Three-stage diagram: preventive maintenance leading to predictive maintenance, then to prescriptive maintenance.

How Do You Implement Prescriptive Maintenance?

Discover the benefits of prescriptive maintenance for cost-effective and efficient production. Minimize downtime and maximize productivity.

How Do You Implement Prescriptive Maintenance? Read Post »

Refinery with distillation columns and stacks, lit by low sun.

How Creating a Digital Twin Helps Plants Run Better

This article explains the concept of Digital Twin, what a Digital consists of and how you can implement it for solving operational problems.

How Creating a Digital Twin Helps Plants Run Better Read Post »

Petrochemical plant with distillation columns and pipework, with hills behind.

Who Owns Your Data? Data Storage And Predictive Maintenance

Why data ownership matters for predictive maintenance, and how it shapes the way you can use asset data for performance management.

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Engineer in coveralls using a tablet beside an opened turbine engine in a maintenance hall.

How Low Can You Go? Reducing Downtime with Prescriptive Maintenance

Run-to-failure and preventive maintenance are both costly in downtime and lost production. Asset management tools reveal causes and consequences.

How Low Can You Go? Reducing Downtime with Prescriptive Maintenance Read Post »

Worker with a tablet standing between large wellhead valves on an offshore platform, seen from below against a bright sky.

When Was The Last Time You Talked To Your Assets?

Your assets are talking to you all the time, in many different ways. Most asset owners are not set up to listen to them.

When Was The Last Time You Talked To Your Assets? Read Post »

Long rectangular sedimentation basins at a water treatment works, reflecting the sky, with walkways running the length of the tanks.

UReason Supports SUEZ To Reduce Costs And Have A Safer Operation

APM Studio’s advanced alarm management cut SUEZ’s alarms by more than 80%, reducing incidents, asset damage and idle time.

UReason Supports SUEZ To Reduce Costs And Have A Safer Operation Read Post »

UReason Enables FOCUS-ON to Develop an Autonomous Control Valve

With UReason’s APM Studio, SAMSON and KROHNE accelerated development of FOCUS-1, a control valve and flow meter with embedded diagnostics and AI.

UReason Enables FOCUS-ON to Develop an Autonomous Control Valve Read Post »

Three-panel graphic labelled CMMS, Chatbot and Microsoft Teams: engineers at a control screen, a chatbot illustration with speech bubbles, and hands holding a phone showing the Teams app.

Dashboard ist nicht Industrie 4.0

Drei bewährte Wege, Informationen von intelligenten Maschinen in Arbeitsprozesse zu integrieren – Dashboards sind dafür denkbar ungeeignet.

Dashboard ist nicht Industrie 4.0 Read Post »

Balluff condition monitoring hardware, an industrial gateway, sensors and connectors, displayed beside dashboard screens on a white background.

UReason bundles APM Studio with Balluff’s Condition Monitoring Toolkit (CMTK)

UReason has bundled APM Studio with Balluff’s Condition Monitoring Toolkit, giving industry an easy-to-install condition-monitoring analytics solution.

UReason bundles APM Studio with Balluff’s Condition Monitoring Toolkit (CMTK) Read Post »

Overhead view of an automated production cell with orange robotic arms handling components on a conveyor.

UReason Supports KUKA Towards More Autonomous Production

APM Studio gives KUKA production insight, lifting output and efficiency while minimising downtime – especially during unmanned production.

UReason Supports KUKA Towards More Autonomous Production Read Post »

Portrait of a man in a white shirt smiling to camera.

PLCnext Store – Pump Health Monitoring with APM Studio

The APM Studio pump health monitor extension gives out-of-the-box pump condition monitoring, predictive maintenance and alarm management.

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FAQ Data Science for predictive maintenance

Data science structures asset data into valuable insight for predictive maintenance. KNIME is a simple tool for building and deploying AI models.

FAQ Data Science for predictive maintenance Read Post »

PTC ThingWorx platform diagram: a central ThingWorx cloud linking systems and people with connected industries, connected sensors and devices, and connected products.

APM Studio Integrated With PTC ThingWorx

APM Studio’s integration with PTC ThingWorx brings real-time condition monitoring and predictive maintenance to your asset base.

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Mathematical formulae and trigonometric identities glowing over a dark background.

Understanding Time Series: ARMA – Auto Regressive Moving Average

Learn how the ARMA (Auto Regressive Moving Average) model can predict anomalies in process data and raise alarms before failures occur.

Understanding Time Series: ARMA – Auto Regressive Moving Average Read Post »

Close-up of programming code on a screen, shown at an angle with a blue glow.

Smoothing your Predictions with Splines

See how pump flow rate prediction with smoothing splines detects clogging early and supports predictive maintenance.

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Financial-style candlestick chart in pink and blue over binary digits.

Open Source Data?!

Open source data sets can boost predictive maintenance and condition monitoring. See top repositories and examples.

Open Source Data?! Read Post »

Integration diagram: field devices and assets connect by 4-20mA HART, Profibus, Fieldbus, OPC UA and MQTT through PLC, SCADA and DCS systems and process historians into APM Studio, which provides 24/7 monitoring, states and KPIs, asset failure models and soft sensors, and raises new jobs for assets in Ultimo.

Ultimo and UReason Close the Loop From Asset Data to Automatic Work Order Generation

Ultimo and UReason integrate to provide real-time asset condition monitoring, predictive and prescriptive maintenance capabilities.

Ultimo and UReason Close the Loop From Asset Data to Automatic Work Order Generation Read Post »

Glowing wireframe brain on a circuit board background.

PMML: What Is It and Why Should You Care About It?

Predictive Model Markup Language (PMML) makes it easier to move machine learning models between systems and into production.

PMML: What Is It and Why Should You Care About It? Read Post »

Dashboards of critical assets from real-time data

Create Drag & Drop dashboards in minutes that visualise asset information and Key Performance Indicators (KPI) on live data to provide situational awareness and overview to work-floor personnel and maintenance managers.

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Abstract illustration of a flowing band of glowing blue particles on a black background.

Monitoring Critical Process Measurements Using Soft Sensors

Discover how a soft sensor helps monitor critical process measurements and spot anomalies using real-time data and algorithms.

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Automation pyramid infographic for the control level: assets connected through a PLC to edge software and on to the cloud, with logos of hardware, edge and cloud vendors at each stage.

Automation Pyramid: Control Level Infographic

Edge computing at the second level of the automation pyramid: how APM Studio analyses asset data at the edge without shipping high-frequency data.

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Edge Computing: Why Should You Care?

Edge computing enables to perform real-time analysis and asset data collection close to the source, making it valuable for both Asset Owners and Equipment Manufacturers to realize Asset Performance Management solutions and applications.

Edge Computing: Why Should You Care? Read Post »

Ultimo and UReason logos over a night photograph of a container port.

UReason Partners with Ultimo

UReason partnered with Ultimo so its users can add real-time condition monitoring, predictive maintenance and automatic work orders.

UReason Partners with Ultimo Read Post »

IT engineer working on a laptop while standing in a data centre aisle between server racks.

How to do real-time, data driven, risk assessment on your asset base?

With the Bowtie method you can turn your existing FME(C)A and failure models into real-time cause consequence models that monitor asset failures.

How to do real-time, data driven, risk assessment on your asset base? Read Post »

Three blue electric motors driving pumps on a skid, connected to stainless steel manifold pipework.

Automation Pyramid: Field Level Infographic

APM Studio at the field level of the automation pyramid: reading sensors and control devices to diagnose issues and cut unplanned downtime.

Automation Pyramid: Field Level Infographic Read Post »

Creating dashboards from asset data in minutes

Creating dashboards from asset data in minutes Read Post »

Engineer in a hard hat and high-visibility vest making notes at a laptop set up beside large insulated pipework in a plant.

The Power of Bow Ties

BowTies in the maintenance domain: how barrier risk models support real-time condition monitoring, with a step-by-step example.

The Power of Bow Ties Read Post »

Using Asset Data to Reduce Equipment Failures and Costs

Use real-time predictive analytics with APM Studio software on your critical asset and process data to reduce equipment failures, increase reliability and reduce maintenance costs.

Using Asset Data to Reduce Equipment Failures and Costs Read Post »