Instandhaltung 4.0
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 »
Maintenance Strategy
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Browse by topic Data & Connectivity
97Control Valves88APM Studio & Platform86AI, ML & LLMs44Servitization & Business Case37FMEA, Bowtie & Risk34Pumps & Rotating Equipment33Alarms & Diagnostics32Energy & Sustainability29Digital Twin, DPP & AAS27Company News11P&ID & Process Insights6Heat Exchangers & Process5
IoT in der Instandhaltung: Maschinendaten für die Planung nutzen
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 nutzen Read Post »
Predictive Maintenance ohne Buzzwords!
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 »
The Myth of Predictive Maintenance?
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 »
Wie schließt man die „Lücke“ zwischen den Sensordaten und der Instandhaltung?
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 »
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 »
An Introduction to Applying Artificial Intelligence in Operations and Maintenance
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 »
Mythos Predictive Maintenance?
Daten, neue Sensoren und KI sollen die Instandhaltung revolutionieren. Wir schlagen die Brücke zwischen Hype und Realität.
Mythos Predictive Maintenance? Read Post »
Digital Twins for Data Driven Maintenance?
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 »
Automation with Cobots!
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 Daten die Instandhaltung planbarer machen?
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 »
Was bedeuten Edge Computer für die Wartung und Instandhaltung?
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 »
Webinar: Technology, Processes and Organization: kickstart your asset performance improvements
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?!
Open source data sets can boost predictive maintenance and condition monitoring. See top repositories and examples.
Open Source Data?! Read Post »
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 »
Condition Monitoring als Grundlage für ein digitales Service-Geschäftsmodell?
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 »
Predictive Maintenance Online Knowledge Days
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 »
Using Data to Make Maintenance More Predictable
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 »
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.
Monitoring Critical Process Measurements Using Soft Sensors Read Post »
Roadmap to Implementing Predictive Maintenance (PdM): A checklist
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 »
Business Case Building for Predictive Maintenance Projects
Discover predictive maintenance business case examples built on real-world data and outcomes.
Business Case Building for Predictive Maintenance Projects Read Post »
Preventing Asset Outage with Historical Data
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 »
PPA January 2021 with Endress + Hauser
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 »
Voorspellend onderhoud: hoe krijg je je organisatie mee?
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 »
Article Series: Predictive Maintenance Project Phases
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 »
Predictive Maintenance (PdM): From theory to practice
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 »
Using Streaming Data from your Assets to Prevent Outages
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 »
BEMAS | Aquafin Hackathon
UReason and MaxGrip helped Aquafin towards smarter maintenance at the BEMAS hackathon during the Asset Performance 4.0 Conference.
BEMAS | Aquafin Hackathon Read Post »
Ensuring Asset Integrity in the Food and Beverage Industry
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 »
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 »
Asset Performance Management: Explanation and Benefits
Discover what Asset Performance Management means and how it reduces downtime with predictive and prescriptive insights.
Asset Performance Management: Explanation and Benefits Read Post »
How to Ensure Asset Integrity in the Energy Sector
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 »
Invest in Predictive Maintenance? Benefits and Risks of Investing in PdM
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 »
OEM 4.0 – Three Ways Valve and Pump Manufacturers Can Turn Data into Dollars
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 »
Three Myths About Manufacturing in the Times of Big Data and AI
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 Small Places – 5 Ways your Pumps and Valves Can Save you Millions
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 »
Starting a CBM/PdM Project – Key Learnings
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 »
The Industrial Internet of Things – Hype or Reality?
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 »