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How the FOCUS-1 smart valve with APM Studio embedded provides diagnostic, prognostic and autonomous control functions to avoid unexpected failures.
How Smart Machines Reduce Maintenance Costs, Energy Usage and Outages? Read Post »
Industrie 4.0, IIoT und KI bieten erhebliches Potenzial. Erfahren Sie, welche Fehler Sie bei Ihren IIoT-Projekten vermeiden können.
Instandhaltung 4.0 Read Post »
Ultimo und UReason zeigen, wie man Maschinendaten für die Instandhaltungsplanung nutzt: weniger Kosten bei höherer Verfügbarkeit der Anlagen.
IoT in der Instandhaltung: Maschinendaten für die Planung nutzten Read Post »
Wie Sie Predictive Maintenance mit Ursache-Folge-Modellen umsetzen, ohne KI oder Big Data – verknüpft mit Prozess-, Maschinen- und Sensordaten.
Predictive Maintenance ohne Buzzwords! Read Post »
Is Predictive Maintenance with Machine Learning (ML), Artificial Intelligence (AI) and analysis on streaming data revolutionizing maintenance and Industry 4.0?
The Myth of Predictive Maintenance? Read Post »
Praxisbeispiele, wie sich Arbeitsprozesse in der Instandhaltung mit Datenanalyse, Machine Learning und IoT automatisieren lassen.
Wie schließt man die „Lücke“ zwischen den Sensordaten und der Instandhaltung? Read Post »
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 »
What artificial intelligence is and how to apply it embedded in your devices or at the edge, deploying real-time predictive models with APM Studio.
An Introduction to Applying Artificial Intelligence in Operations and Maintenance Read Post »
Daten, neue Sensoren und KI sollen die Instandhaltung revolutionieren. Wir schlagen die Brücke zwischen Hype und Realität.
Mythos Predictive Maintenance? Read Post »
Apply digital twin technology for data-driven maintenance: create digital copies of your assets and run real-time predictive analytics securely.
Digital Twins for Data Driven Maintenance? Read Post »
UReason and its Technohub partners run workshops on big data, IoT and AI in manufacturing. This one introduces cobot technology in detail.
Automation with Cobots! Read Post »
Wie führende Unternehmen Predictive Analytics pilotieren und implementieren, um Stillstände zu vermeiden und die Produktionskapazität zu erhöhen.
Wie Daten die Instandhaltung planbarer machen? Read Post »
Edge Computing ermöglicht die Analyse von Daten in Echtzeit nahe an Maschinen, Instrumenten und Armaturen – und optimiert so die Instandhaltung.
Was bedeuten Edge Computer für die Wartung und Instandhaltung? Read Post »
UReason, MaxGrip and Ultimo explain how you can implement and utilize real-time, condition-based and predictive maintenance solutions in an organization.
Open source data sets can boost predictive maintenance and condition monitoring. See top repositories and examples.
Open Source Data?! Read Post »
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 »
Die kontinuierliche Zustandsüberwachung senkt Kosten und steigert die Verfügbarkeit – und eröffnet Herstellern neue digitale Services.
Condition Monitoring als Grundlage für ein digitales Service-Geschäftsmodell? Read Post »
Data-driven maintenance, automated work-order generation to CMMS such as Ultimo, Maximo and SAP, and the AI, cloud and edge technologies behind it.
Predictive Maintenance Online Knowledge Days Read Post »
A working project flow for APM: selecting critical assets and non-conformities, choosing failure models and deploying them on live data.
Using Data to Make Maintenance More Predictable Read Post »
Discover how a soft sensor helps monitor critical process measurements and spot anomalies using real-time data and algorithms.
Monitoring Critical Process Measurements Using Soft Sensors Read Post »
Start your smart maintenance journey with our proven predictive maintenance (PdM) best practices. Get the free infographic.
Roadmap to Implementing Predictive Maintenance (PdM): A checklist Read Post »
Discover predictive maintenance business case examples built on real-world data and outcomes.
Business Case Building for Predictive Maintenance Projects Read Post »
What data you need to build real-time condition monitoring, and how to deploy AI and machine learning algorithms on streaming data.
Preventing Asset Outage with Historical Data Read Post »
UReason and Endress+Hauser on building a smart plant on the NAMUR Open Architecture concept, with asset degradation forecasting in APM Studio.
PPA January 2021 with Endress + Hauser Read Post »
UReason en MaxGrip laten met asset data zien hoe Aquafin falen kan voorspellen, zodat dringend onderhoud efficiënter wordt ingepland.
Voorspellend onderhoud: hoe krijg je je organisatie mee? Read Post »
Learn the 5 phases of a predictive maintenance project, from concept to operation, and how to implement PdM effectively.
Article Series: Predictive Maintenance Project Phases Read Post »
How to use data from production processes and combine it with machine learning (ML) and artificial intelligence (AI) models running on real-time data to realize predictive maintenance (PdM) and prevent failures and dysfunctions early.
Predictive Maintenance (PdM): From theory to practice Read Post »
Running predictive analytics on streaming data allows you to optimise process availability, detect equipment dysfunctions early and improve asset integrity.
Using Streaming Data from your Assets to Prevent Outages Read Post »
UReason and MaxGrip helped Aquafin towards smarter maintenance at the BEMAS hackathon during the Asset Performance 4.0 Conference.
BEMAS | Aquafin Hackathon Read Post »
Predictive analytics on real-time data helps Food & Beverage companies cut equipment failures and maintenance costs.
Ensuring Asset Integrity in the Food and Beverage Industry Read Post »
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 »
Discover what Asset Performance Management means and how it reduces downtime with predictive and prescriptive insights.
Asset Performance Management: Explanation and Benefits Read Post »
APM for the energy sector: how predictive and condition-based maintenance on real-time data addresses electricity generation and distribution.
How to Ensure Asset Integrity in the Energy Sector Read Post »
Thinking of investing in predictive maintenance? Learn the ROI, risks, and how to choose the right assets.
Invest in Predictive Maintenance? Benefits and Risks of Investing in PdM Read Post »
Predictive maintenance analytics helps valve and pump manufacturers cut costs, improve diagnostics, and unlock new income streams.
OEM 4.0 – Three Ways Valve and Pump Manufacturers Can Turn Data into Dollars Read Post »
Explore 3 myths about data and AI in manufacturing that shape how teams approach data, decision-making, and smarter asset performance.
Three Myths About Manufacturing in the Times of Big Data and AI Read Post »
Big data in manufacturing saves millions by optimizing pumps & valves with predictive maintenance to boost efficiency and reduce costs.
Big Data in Small Places – 5 Ways your Pumps and Valves Can Save you Millions Read Post »
Start your CBM or PdM project with confidence. Learn how process, ambition, and leadership shape successful PoC or PoV outcomes.
Starting a CBM/PdM Project – Key Learnings Read Post »
Explore how the Industrial Internet of Things in manufacturing enhances efficiency, reduces downtime, and improves asset performance.
The Industrial Internet of Things – Hype or Reality? Read Post »
