PLC Analysis
Failures in automated systems can lead to production downtime and inferior quality. Failure mode analysis is easily achieved for maintenance personnel…
Learn more
Maintenance
Key Users
For maintenance in case of a failure, it is essential to be able to access the measurement data as it provides information about how the failure occurred. With the iba system, you can quickly react when problems arise. Thanks to its broad connectivity, you can immediately access relevant data from all devices. Our powerful acquisition and analytics tools provide real-time insights, allowing you to detect anomalies, pinpoint root causes with precision, and make data-driven decisions.
Optimize Maintenance Efficiency
The iba system provides seamless, time-synchronized data acquisition to find errors quickly and to analyze root causes with precision. With broad process connectivity and powerful analytics tools, issues can be diagnosed and resolved quickly. This enhances overall system efficiency and reduces unplanned downtime.
With our system, you can not only determine that a process step deliveres unusual values, but you also know exactly which point needs to be inspected.
Jan Clas
Product Manager, iba AG
Explore Our Applications
Successful applications and real solutions with the iba system.
Process Monitoring
Automated real time monitoring of processes, machines and plants is based on acquired measurement data, camera images and calculated characteristic…
Learn more
Condition Monitoring
The iba Condition Monitoring System combines vibration-based characteristic values with process and material data to reliably detect wear on plants.…
Learn more
Vibration Analysis
For reliable real-time monitoring of vibrations, offline analysis tools for optimization and validation are indispensable. The iba system offers you…
Learn more
Energy Monitoring
Acquire and analyze energy flows and consumption data: The iba system is ideal for evaluating your energy efficiency as it monitors energy and process…
Learn more
Edge Analytics: Analyze Process Data Where it is Generated
Edge analytics applications allow you to monitor processes locally in real time based on process data. The locally acquired process data can be…
Learn more
Acquire Data From SIMATIC S7 Controllers
The iba system offers several ways to acquire data from the S7 controllers – the right solution for different requirements.
Learn more
Acquire Data From TwinCAT 2 and 3 Controllers
The iba system offers several ways to acquire data from the TwinCAT or other EtherCAT-based controllers – the right solution for different…
Learn more
Data Acquisition From Allen-Bradley Controllers
The iba system offers several ways to acquire data from Allen-Bradley controllers, especially via EtherNet/IP – the right solution for different…
Learn more
Acquire Data From SIMOTION Motion Controllers and SINAMICS Control Units
The iba system offers various ways to acquire data from SIMOTION and SINAMICS drive controllers – the right solution for different requirements.
Learn more
Unlocking the Full Potential of Measurement Data: A Value Creation Approach Through Digitalization
Increasing complexity and process speed pose significant challenges for technology-intensive manufacturing companies. Not only do these factors make…
Learn more
So Near and Yet so Far: From Process Analysis at the Edge to KPIs in the Cloud
The more complex a system is, the greater the number of components involved in the process. However, as these influence each other, the impact of the…
Learn more
Controlling the Central Nervous System: Bus Monitors as a Crucial Digitalization Tool
Data has long since become the most important resource of the 21st century. Modern, decentralized industrial plants use industrial bus systems to…
Learn more
Checking and Certifying Coil Tracking Automatically: Handling Flat Products in an Optimized Way With ibaDatawyzer-ICC
Flat products are manufactured in several process steps, that do not directly follow each other in chronological order. Some products (the so-called…
Learn more
Process Analysis With ibaCapture: Keep an Eye on the Entire Plant With Process Specific Camera Monitoring
Usually, the operator does not have a free view on all components and aggregates from the control panel of a rolling mill. This is why camera systems…
Learn more
Democratizing Measurement Data – An Approach to Cross-Departmental Value Creation
To fully unlock the potential of measurement data, it must be democratized – made holistically accessible and usable across all user groups.
Learn more
Improve Crane Uptime Through Intelligent Online Monitoring
Overhead cranes are key components in many production and logistics facilities. It is therefore essential to identify potential fault sources at an…
Learn more
Increasing Product Quality by Means of Visual Signals: Online Process Monitoring With ibaVision
The task is to detect rhomboidity during a continuous casting process. This needs to be done to allow timely process adjustments and consequently…
Learn more
Full Transparency for Yard Machines in Mining
To gain full transparency into machine behavior it is important to get a coherent view of how drives, PLC logic, sensors, and mechanical components…
Learn more
Companies That Rely on iba
These leading companies already rely on the iba system.
Success Stories
Read the inspiring success stories of our satisfied customers.
Maximum Grid Security for Offshore Wind Power
GE Vernova Relies on the iba System in Sofia Project
Learn more
From Scrap Basket to Heat Analysis
How Badische Stahlwerke Uses the iba System to Bring Transparency to Scrap Charging
Learn more
Badische StahlwerkeDigital Process Monitoring in Batch Annealing
From Paper Chart Recorders to Modern Data Acquisition: To ensure reliable analysis and visualization of furnace data, Aluminium Norf relies on the iba…
Learn more
Transparent Power Plant Monitoring with the iba System at FPCL
After the nationwide blackout in Pakistan on January 9, 2023, energy producers came under increasing pressure to enhance plant monitoring and to…
Learn more
Digital Process Optimization at thyssenkrupp Electrical Steel
At the cold rolling mill of thyssenkrupp Electrical Steel (tkES) in Gelsenkirchen, the team faced a familiar yet complex challenge.
Learn more
Large-Scale Small-Signal Excitation – Measured by iba
The energy transition is fundamentally reshaping power grids: decentralized generation, volatile energy sources, and increasingly dynamic grid…
Learn more
AI-Powered Coil Strap Detection with ibaVision
In the production of aluminum coils, proper strapping is essential to ensure safe handling and transport.
Learn more
Locating High-Speed Faults with iba
A mining company uses the iba system to maximize the availability of electric rope shovels.
Learn more
AI-generated ImageDigital Process Optimization in Steel Refining at LSV
The heat and surface treatment of steel is a complex and sensitive technical process. With the iba system, LSV implemented a comprehensive solution…
Learn more
A Quick Look at Historical Data
In order to analyze processes efficiently, Neuman Aluminium introduced the iba system in production in 2014. Due to its success, it was rolled out to…
Learn more
With a Unified View of All Process Data: Novelis Relies on the iba System
The commissioning of a new pusher type furnace at their Swiss location prompted Novelis to standardize the acquisition and analysis of process data.…
Learn more
Finding a Needle in a Haystack in Seconds: BILSTEIN Monitors Coils With ibaDatawyzer-ICC
Over 1,600 tons of metal, rolled into coils, pass through the BILSTEIN Group’s production facilities every day. To eliminate the risk of mix-ups, the…
Learn more
“With ibaHD-Server, we have direct access to seven years of historical data”
What began seven years ago with the replacement of paper chart recorders in a pusher-type furnace has evolved into a key pillar of quality assurance…
Learn more
Vibration Monitoring Made Easy: Condition Assessment Using Meaningful Characteristic Values
Reducing complexity by calculating KPIs from vibration and machine data in ibaPDA using ibaInSpectra.
Learn more
“ibaDaVIS gives all users easy access to the data and helps us resolve emerging issues more quickly.”
As the legacy system no longer met operational demands, the BILSTEIN GROUP had to seek out a new solution for process data visualization. Their…
Learn more
Test the iba System Now!
Download the demo of ibaPDA and ibaAnalyzer and start optimizing your processes today. Try it free of charge for 30 days!
Request a ibaPDA-Demo LicenseFrequently Asked Questions (FAQ)The iba system enables high-resolution, time-synchronous acquisition of process, control, and sensor data, making even short-term or intermittent faults traceable. ibaPDA continuously records relevant signals from PLCs, fieldbuses, and drive systems. With ibaAnalyzer, signal trends can be correlated in detail and the exact timing of anomalies can be identified. This allows maintenance teams to isolate root causes faster and implement targeted corrective actions.
High-resolution raw data enables early detection of anomalies and gradual changes in process behavior. With ibaPDA and edge analytics applications such as ibaInCycle or ibaInSpectra, limit violations and abnormal vibration patterns can be identified in real time. This allows maintenance activities to be planned condition-based before critical failures occur. As a result, unplanned downtime is reduced and plant availability is sustainably improved.
In heterogeneous production environments, data from different controllers, sensors, and fieldbus systems must be analyzed together. The iba system provides a unified platform for synchronous data acquisition across multiple vendors and communication standards using ibaPDA, ibaBM modules, and ibaPDA-PLC-Xplorer. This gives maintenance teams a consistent view of the entire process. Correlations between mechanical, electrical, and control-related events can therefore be identified much faster.
Continuous long-term recording with ibaHD-Server allows operating conditions, loads, and process deviations to be analyzed over extended periods. Using ibaAnalyzer and ibaDatCoordinator, reports, trends, and KPIs can be generated automatically from this data. Maintenance activities can therefore be aligned with actual wear conditions instead of relying on fixed schedules. This improves shutdown planning and increases maintenance efficiency.
Time-synchronous acquisition of all relevant process signals enables precise analysis of critical operating conditions and safety-related events. With ibaPDA, data from controllers, drives, vibration sensors, and fieldbuses can be recorded using a common time base. This makes cause-and-effect relationships transparent and allows malfunctions to be traced reliably. As a result, fault diagnostics become safer, intervention risks are reduced, and the service life of plant components is extended.
The iba system enables high-resolution, time-synchronous acquisition of process, control, and sensor data, making even short-term or intermittent faults traceable. ibaPDA continuously records relevant signals from PLCs, fieldbuses, and drive systems. With ibaAnalyzer, signal trends can be correlated in detail and the exact timing of anomalies can be identified. This allows maintenance teams to isolate root causes faster and implement targeted corrective actions.
High-resolution raw data enables early detection of anomalies and gradual changes in process behavior. With ibaPDA and edge analytics applications such as ibaInCycle or ibaInSpectra, limit violations and abnormal vibration patterns can be identified in real time. This allows maintenance activities to be planned condition-based before critical failures occur. As a result, unplanned downtime is reduced and plant availability is sustainably improved.
In heterogeneous production environments, data from different controllers, sensors, and fieldbus systems must be analyzed together. The iba system provides a unified platform for synchronous data acquisition across multiple vendors and communication standards using ibaPDA, ibaBM modules, and ibaPDA-PLC-Xplorer. This gives maintenance teams a consistent view of the entire process. Correlations between mechanical, electrical, and control-related events can therefore be identified much faster.
Continuous long-term recording with ibaHD-Server allows operating conditions, loads, and process deviations to be analyzed over extended periods. Using ibaAnalyzer and ibaDatCoordinator, reports, trends, and KPIs can be generated automatically from this data. Maintenance activities can therefore be aligned with actual wear conditions instead of relying on fixed schedules. This improves shutdown planning and increases maintenance efficiency.
Time-synchronous acquisition of all relevant process signals enables precise analysis of critical operating conditions and safety-related events. With ibaPDA, data from controllers, drives, vibration sensors, and fieldbuses can be recorded using a common time base. This makes cause-and-effect relationships transparent and allows malfunctions to be traced reliably. As a result, fault diagnostics become safer, intervention risks are reduced, and the service life of plant components is extended.
