CHENEXT returns to the Asset Performance Management conference this year with an interactive demo stand centered on Extended Reality for the process industry. Following the hands-on format that resonated with visitors last year, the stand features a physical asset paired with XR technology, letting attendees directly experience what immersive digital tools truly mean across an asset's full lifecycle.

Operators, technicians, and engineers can step into realistic scenarios: overlaying live digital twin data onto physical equipment, walking through remote-assist inspections, and following augmented step-by-step guidance for complex maintenance tasks. The demo turns abstract asset performance data into something tangible, showing how XR connects design, operations, and maintenance in one continuous workflow.

For operators, the experience highlights faster onboarding and safer execution through contextual, in-field instructions. For technicians, it shows how XR shortens downtime by simplifying diagnostics and enabling expert support from any location. For engineers, it demonstrates how immersive visualization strengthens design validation and lifecycle planning by linking performance data directly to decisions made on the plant floor.

Throughout the conference, CHENEXT's team will be present to walk visitors through live use cases, answer technical questions, and discuss how XR fits within asset performance management strategies. Whether attendees are new to XR or already piloting it, the stand offers a practical, jargon-free look at what the technology delivers in day-to-day industrial work.

Visitors are invited to see, touch, and try the technology for themselves, experiencing firsthand how XR is reshaping the way process industry professionals manage, maintain, and optimize their assets.

Every minute of downtime impacts productivity, costs and operational performance. Yet in many organizations, valuable time is still lost between detecting an issue and taking action. Information needs to be reviewed, work orders need to be created, and someone needs to decide who should respond.

This demo shows how that entire process can be reduced to just 10 seconds.

We start with a wind turbine that requires maintenance. As soon as a sensor detects an abnormal reading, an intervention is created automatically and routed to the asset and field service platform. No manual handover. No delay.

The system immediately identifies the most suitable technician based on factors such as location, required skills and asset characteristics. There is no need for a planner to review or assign the work manually.

The technician receives the assignment instantly on a mobile device, together with all relevant information needed to take action. Asset documentation, fault details and navigation to the site are available from the moment the job is assigned.

The result is straightforward: faster response times, fewer manual touchpoints and a shorter path from problem detection to problem resolution. By connecting operational technology, business processes and field operations into one seamless flow, organizations can reduce downtime, improve workforce efficiency and scale their maintenance operations without adding complexity.

In this demo, the complete journey from sensor alert to technician assignment takes just 10 seconds.

Curious how this could work in your own asset-intensive environment?

Visit the delaware booth and experience the demo firsthand. Let's discuss how you can reduce downtime, accelerate response times and turn operational data into immediate action.

At the BEMAS Asset Performance Conference 2026 in Antwerp, Ecol Sp. z o.o. will present its latest solutions for improving equipment reliability, operational efficiency and maintenance performance.

A key part of our exhibition will be the advanced capabilities of the Ecol Oil Analysis Laboratory. We will showcase modern testing methods for oils, lubricants and operating fluids, as well as comprehensive condition-monitoring services supporting turbines, compressors, gearboxes, engines and other critical industrial assets.

Visitors will also learn how Ecol is developing and applying artificial intelligence to diagnostic processes. By combining laboratory data, expert knowledge and AI-supported analysis, we aim to identify developing problems more effectively, support maintenance decisions and help customers reduce the risk of unexpected equipment failures.

Our experts will present specialised industrial cleaning services designed to restore plant efficiency. These solutions help remove deposits from turbines and other process equipment, improve performance, reduce operating costs and support lower emissions.

Ecol will also demonstrate its potential as a continuously developing maintenance partner. This includes Smart Ecol, our mobile solution for managing machinery condition, oil analysis results and diagnostic activities, as well as comprehensive lubrication outsourcing services.

Our goal is to provide customers with an integrated combination of laboratory diagnostics, digital tools, engineering expertise and on-site industrial services—all focused on safer, more reliable and more efficient operations.

Experience the power of PRUFTECHNIK ROTALIGN® Elite, the flagship laser shaft alignment system designed for the most demanding maintenance and reliability applications.

In this live demonstration, our specialists will showcase key ROTALIGN Elite capabilities, using the unique single-laser measurement technology including functionalities such as Multi-Coupling alignment, Move Simulator, Live Move and more. Attendees will also see how the system handles challenging alignment tasks while delivering precise, repeatable results.

Learn how PRUFTECHNIK ROTALIGN Elite helps maintenance teams reduce alignment time, improve machine reliability, and document results through comprehensive reporting.

Join us to discover how advanced alignment technology can support predictive maintenance strategies and maximize the performance of critical rotating assets.

Discover how Visual Inspection helps organizations improve inspection processes and adds intelligence to the operational maintenance foundation needed for Smarter Maintenance.

During this live demo, we show the complete maintenance cycle: from detecting an anomaly to taking action and continuously improving asset information.

You will see how the system is trained to recognize specific asset conditions and how inspectors perform digital inspections to identify anomalies faster and more consistently.

When an anomaly is detected, the finding is digitally recorded and transferred into the maintenance process in Maximo. A work order is created, the planner manages the required activities, and the technician executes the work using Maximo Mobile with access to the latest asset information, instructions, and work details.

All inspection results and completed activities are stored in the asset history, creating a continuous feedback loop. The collected data supports better maintenance decisions, reliability analysis, condition-based maintenance, and predictive maintenance.

Visual Inspection is one of the technology enablers within the Smarter Maintenance approach. By connecting AI-powered inspections with Enterprise Asset Management and Mobile, inspection findings become part of the maintenance process and help organizations continuously improve the operational foundation for Smarter Maintenance.

Visit our stand and discover how MACS helps asset-intensive organizations make Smarter Maintenance a reality through connected processes, reliable data, and intelligent technologies.

We will present our new products related to condition monitoring and smart lubricators

OPTIME-E-CM for electrical condition monitoring of electrical systems based on MCSA technology. This new device can detect trouble on electrical or mechanical parts of electrical machines and is able to monitor energy consumption or quality of the supply network.  The device can also be used to monitor the efficiency behavior of fluid pumps.

OPTIME-C1 : smart single point lubricator based on gas driven cartridge, remotely controlled

OPTIME-C1Pro : our new smart electro-mechanical single point lubricator with pressure up to 15 bars. Part of the Optime eco-system, h can be controlled from your phone or dashboard.

OPTIME-C4 : 4 channels smart electromechanical lubricator for oil or grease.  Control is individual for each channel and remotely available.

We will present all available software that Schaeffler put at the disposal of his customers.  With those programs, you will be able to dimension, mount, lubricate, control the best possible bearing for your assets.

The Schaeffler Campus will be available. Schaeffler propose a lot of different trainings for all kind of purposes : from the basics until the high sophisticated calculation models, mounting, lubrication or condition monitoring, everything is possible.  Online trainings on our platform, scheduled trainings in our Schaeffler training center or even taylormade on site training at your place, everything can be discussed.  Come to see us.

How can asset-intensive organizations reduce MRO working capital without increasing the risk of asset downtime?

At the Verdantis booth, see how AI-native decision support connects maintenance, MRO inventory, and asset performance decisions across multi-site industrial operations.

The live demonstration of Verdantis MRO360 shows how purpose-trained AI agents analyze data from existing ERP, EAM, and CMMS systems, working as an intelligence layer above your systems of record rather than replacing them.

Maintenance, reliability, and supply chain teams see the recommendation, the reasoning behind it, and retain approval on every write-back.

See how AI can identify excess, slow-moving, obsolete, and duplicate inventory while accounting for equipment criticality and spare parts criticality, helping teams determine where inventory can be safely reduced and where critical spares must be protected.

The demo also covers interplant transfer intelligence, surfacing opportunities to source parts from another facility before initiating a new purchase. Visitors will see how the platform evaluates inventory availability, transfer options, lead times, and demand to support buy-versus-transfer decisions.

Finally, explore AI-native MRO demand forecasting and reorder-point review, combining consumption history, maintenance plans, work orders, failure patterns, lead times, and other demand signals to anticipate future requirements.

The objective is not simply to reduce inventory. It is to balance working capital, maintenance cost, and asset availability, so the right material is available where and when it is needed while reducing capital tied up in MRO stock.

Visit the Verdantis booth to see how AI turns fragmented MRO data into decisions your teams can act on with confidence.