How to use a Lean Canvas for a digital servitization project, with worked examples from the Control Valve App built on APM Studio.
A Lean Canvas for Digital Servitization Projects With an Example Read Post »
Learn how to transform your asset management strategy by staying ahead of potential failures and ensuring continuous operation.
Real-Time, Data-Driven Risk Assessment for Your Asset Base Read Post »
Overcome the “Valley of Death” in digital servitization with UReason’s insights and APM-Studio platform—accelerate time to market and protect your IP.
The Valley of Death in Digital Servitization Projects Read Post »
Shift from concept to execution with Digital Twins for Data-Driven Maintenance and rethink how maintenance decisions are made.
Digital Twins for Data-Driven Maintenance? Read Post »
How digital servitization combines products, services and technology to create sustainable growth and lasting customer relationships.
The Business Case for Digital Servitization Projects Read Post »
How smart machines detect issues early and avoid costly downtime, featuring the FOCUS-1 smart valve and its role in maintenance strategy.
How Smart Machines Reduce Maintenance Costs Read Post »
See how Data-Driven Maintenance transforms untapped data into actionable strategies that reduce downtime and improve asset performance.
Data-Driven Maintenance Read Post »
Discover the truth about predictive maintenance software and uncover the realities behind the hype in “The Myth of Predictive Maintenance?”
The Myth of Predictive Maintenance? Read Post »
Control valves send CO, PV and SP data over protocols like 4-20mA HART and Profinet. How the Control Valve App turns that into diagnostics.
Dataflow for the Control Valve App Read Post »
Understand your organisation’s data-driven maintenance maturity, benchmark it against the industry and get clear recommendations to improve.
Data-driven maintenance uses analysis, machine learning and real-time monitoring to act on predicted issues rather than fixed intervals.
Data Driven Maintenance Read Post »
Gain insight into how Large Language Models in Manufacturing improve process, control, and asset management decisions.
Using Large Language Models in Manufacturing Read Post »
How APM Studio works across the automation pyramid, from embedded systems watching faults in isolation to edge deployments near the data source.
UReason’s APM Typical Deployment & Focus Read Post »
Service data in your EAM or CMMS matters as much as asset data. Integrating the two sharpens maintenance planning and service delivery.
The Wider Scope of Data Driven Maintenance Read Post »
On 17 October the McMain Meetup 2024 takes place. Join UReason’s breakout session on the rapidly changing world of data sharing.
Join UReason at McMain Meetup 2024 Read Post »
The EU’s Digital Product Passport legislation and the Asset Administration Shell standard are set to transform industrial asset management.
Energy efficiency is essential for the process industry. Strategies, case studies and technologies to cut consumption and carbon footprint.
Fugitive emissions from valves and seals pose environmental and health risks in oil, gas and chemicals – and control valves play a big part.
Fugitive Emissions in the Process Industry – Control Valves Play a Big Part Read Post »
A webinar on how Large Language Models combined with time-series data provide context-aware decision support for process control and assets.
Webinar: Using Large Language Models in Manufacturing Read Post »
Data-driven maintenance, also known as predictive maintenance, offers several advantages over traditional time-based and reactive maintenance approaches.
Webinar: Data-Driven Maintenance Read Post »
The APM 2024 eBook: practical techniques, tools and expert insight to improve your asset management strategy and operational efficiency.
Guide to Asset Performance Management and APM Studio Read Post »
Common questions about the Control Valve App: a vendor-agnostic tool supporting many valve types and actuators, with real-time predictive insights.
Commonly Asked Questions About Control Valve App Read Post »
The International Data Spaces initiative offers a secure, decentralised framework for sharing data across organisational and national boundaries.
Data Sharing – International Data Spaces Read Post »
Control valves regulate flows in refining, chemicals and pharma. Ensuring they run efficiently traditionally falls to field operators – at what cost?
Business Case for Continuous Valve Monitoring Read Post »
Stiction is the static friction that stops a control valve moving smoothly when a control signal is applied. What causes it and why it matters.
Valve 101 – Stiction Read Post »
The benefits and challenges of data sharing in the valve market, and how OEMs, service providers and peers can use operational asset data.
Data Sharing – A Look at the Valve Market Read Post »
The reasons for sharing asset data are clear and quantifiable, yet industry shares little. A look at the barriers that keep data locked away.
Data Sharing – The Barriers Read Post »
Sharing data in the industry can offer numerous benefits, fostering collaboration, innovation, and efficiency. Hence, why would you?
Data Sharing – Why Would You? Read Post »
Cavitation and flashing both occur when fluid passes through a control valve, and both cause unacceptable vibration, noise and damage.
Cavitation and Flashing Read Post »
Remote Digital Twins are virtual replicas of physical assets, giving real-time access to properties so you can choose where to run diagnostics.
Digital Twins in APM & APM Studio Read Post »
A positioner works with a control valve to move it accurately and quickly to the position the control system asks for.
Valve 101 – Positioners Read Post »
Decision Support Rules guide users through resolving an issue and query them for information that isn’t available digitally.
Decision Support Rules in APM & APM Studio Read Post »
On 22 May 2024 the Asset Administration Shell Hackathon takes place. Join us and help shape the future of industrial automation.
Join Us at De Asset Administration Shell (AAS) Hackathon Read Post »
Jules Oudmans of UReason explains when using production data makes sense, how to get started with data streams, and what predictive maintenance yields.
Predictive Maintenance: From Theory to Practice Read Post »
Generative AI applied to your own procedures, asset manuals and maintenance manuals saves the time spent searching for the right information.
Large Language Models – The Future of Generative AI in APM Read Post »
Test your rules, models and data processing before production: APM lets you feed offline data and watch the application run in APM Studio.
Test Definitions APM & APM Studio Read Post »
With Time Series Historian, APM has built-in support for fast time-series data logging, using QuestDB, to persist Model history property data.
Time Series Historian in APM & APM Studio Read Post »
We investigated using Large Language Models in Asset Performance Management: finding missing information, locating assets and comparing health scores.
Large Language Models – What We Did Read Post »
Why UReason applied Large Language Models to the Control Valve App – driven by the scarcity of knowledge and expertise in industry.
Large Language Models – Our Use Case Read Post »
Complex Event Processing lets APM analyse and correlate streams of events and alarms to understand what is really happening in real time.
Complex Event Processing in APM & APM Studio Read Post »
Bowtie models evolved from ways of visualising cause and consequence. The earliest mention of the diagram is credited to David Gill of ICI.
Bowtie Rules in APM & APM Studio Read Post »
Large Language Models are a deep learning method within Natural Language Processing – ChatGPT, LLaMa and Bert are the best-known examples.
Large Language Models Read Post »
An operationally critical control valve holds precise control over flowrate, pressure, temperature or fluid level – and failure is not an option.
Critical Valves – Failure is not an Option Read Post »
Our Control valve Valve App (CVA) provides several control performance insights by using the data you store in your process historians or logs.
Controlling the Control Valve – Measuring Controller Performance with Control Valve App Read Post »
It is important to distinguish the various states in your system because the reaction to certain events will depend on those states.
State Diagrams in APM & APM Studio Read Post »
Bad controller performance on control valves can have significant costs and consequences in various industrial processes and applications.
Controlling the Control Valve – Consequences of Bad Controller Performance Read Post »
Advanced Process Control improves efficiency, product quality and performance – and depends on control valves that behave predictably.
The Business Case for Continuous Valve Diagnostics – Process Perspective Read Post »
PID controllers are used everywhere in control systems, but show several common issues when they are not properly tuned or configured.
Controlling the Control Valve – Controller Issues Read Post »
Object models give a conceptual representation of objects, their attributes and behaviours, and the relationships between them in an APM application.
Object Models in APM & APM Studio Read Post »
PID control influences a control valve by continuously adjusting its position to regulate fluid flow through a process pipeline or system.
Controlling the Control Valve – PID Control in Relation to the Control Valve Read Post »
