PLC Analysis
Failures in automated systems can lead to production downtime and inferior quality. Failure mode analysis is easily achieved for maintenance personnel…
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Detailed Offline Vibration Analysis
ibaAnalyzer-InSpectra
ibaAnalyzer-InSpectra offers the functionality of ibaInSpectra for vibration monitoring offline in ibaAnalyzer. The configuration of the online system can thus be carried out offline based on acquired data and calculations can be validated and adjusted subsequently. In addition, ibaAnalyzer allows a detailed analysis of the recorded data for process and machine diagnosis.
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From Online Monitoring to Offline Analysis
ibaInSpectra is an add-on in ibaPDA and offers various options of online monitoring of vibrations and shaft motions.
ibaAnalyzer is a powerful analysis tool to analyze recorded data and to diagnose the causes of problems in processes. ibaAnalyzer-InSpectra now bridges the gap between ibaPDA and ibaAnalyzer and an integrated tool chain from online monitoring to detailed offline analysis is offered. The two most important modules in this context are the Expert module for the frequency band analysis of vibrations and the Orbit module for the analysis of shaft motions. With ibaAnalyzer-InSpectra, not only raw signals and calculated characteristic values can be opened in ibaAnalyzer, but also the calculation profiles. Thus it is also possible to carry out the calculations of ibaInSpectra offline. Characteristic values that have triggered an alarm can be validated and the problem can be analyzed offline. The extensive features of ibaAnalyzer-InSpectra offer a useful option here: Changing the analysis rules gives you a better view of the information relevant to the problem being considered.
ibaAnalyzer-InSpectra at a Glance
- Offline configuration of the ibaInSpectra profiles based on recorded data
- Fine tuning of vibration and orbit monitoring offline
- Validation of alerts and alarms
- Detailed analysis of the process and machine behavior taking into account all process parameters
- Frequency band analysis using the Expert module
- Shaft motion analysis using the Orbit module
ibaAnalyzer-InSpectra Functions
Discover the comprehensive possibilities of the ibaAnalyzer-InSpectra software.
Explore Real Applications
Get inspired by product use cases and learn how value is created.
Process Monitoring
Automated real time monitoring of processes, machines and plants is based on acquired measurement data, camera images and calculated characteristic…
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Condition Monitoring
The iba Condition Monitoring System combines vibration-based characteristic values with process and material data to reliably detect wear on plants.…
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Quality Control
For documenting the automatically manufactured products, quality data and characteristic values need to be calculated and reliably stored in a quality…
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Long-Term Analysis
The iba system enables continuous acquisition and long-term storage of process and machine data in high temporal resolution. All data is centrally…
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Power and Process Monitoring
The iba system tells you exactly what is happening in your plants and your energy system. The components are all perfectly coordinated with one…
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Vibration Analysis
For reliable real-time monitoring of vibrations, offline analysis tools for optimization and validation are indispensable. The iba system offers you…
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CAN-Based Measurement Systems in Industrial Environments
Technical Data Acquisition and Analysis with the iba System
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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…
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The iba System as a Diagnostic Tool for Maritime Applications
In modern marine propulsion systems, reliable and continuous monitoring of all components is essential to prevent failures and plan maintenance…
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Deterministic Data Acquisition and Transmission via ibaNet-E
With ibaNet-E, iba has developed an Ethernet-based protocol for deterministic transmission of measured values.
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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…
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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.
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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…
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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…
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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.
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Acquire Machine Data From SINUMERIK CNC Controllers
Using the ibaPDA-Interface-SINUMERIK-Xplorer interface, data can be recorded directly from Siemens SINUMERIK CNC control systems. The connection and…
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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…
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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…
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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…
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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…
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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.
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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…
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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…
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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…
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Companies That Rely on iba
These leading companies already use this component of the iba system.
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Talk to an ExpertSuccess Stories
Read the inspiring success stories of our satisfied customers.
Vibration Monitoring Made Easy: Condition Assessment Using Meaningful Characteristic Values
Reducing complexity by calculating KPIs from vibration and machine data in ibaPDA using ibaInSpectra.
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Aluminium Processing Plant: Vibration Monitoring System for Cold Rolling Mills and Tension Leveler
The iba system provides a state-of-the-art condition and vibration monitoring system. Since it had been installed, many critical downtimes have been…
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Detecting Critical Vibrations in Rolling Mills
In a cold rolling mill, the process data recording system ibaPDA has been used for process data analysis, but the vibration measurement data was…
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Optimization of a Condition Monitoring System with ibaInSpectra and ibaRotate
A Condition Monitoring System (CMS) is supposed to monitor the wear of two motors. The CMS calculates characteristic values at regular intervals under…
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Service & Downloads
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| Order no. | Name | Description |
|---|---|---|
| 33.010000 | ibaAnalyzer | Offline analysis tool * |
| 33.010003 | ibaAnalyzer-DB-Read | Offline analysis: read data from SQL databases |
| 33.010008 | ibaAnalyzer-DB-Read-5 | Offline analysis: read data from SQL databases, 5 users |
| 33.010410 | ibaAnalyzer-InSpectra+ | Offline vibration analysis: trend and output of InSpectra results in ibaAnalyzer |
| 33.010411 | ibaAnalyzer-InCycle+ | Offline analysis of cyclic processes: trend and output of InCycle results in ibaAnalyzer |
| 33.010445 | ibaAnalyzer-E-Dat | Offline analysis for external data formats |
| 33.010456 | ibaAnalyzer-Add-On-TDMS-Extract | Offline data extraction from an original DAT file into a TDMS format (free of charge) |
* Software is licensed free of charge for analyzing measurement data generated with the iba system.
Frequently Asked Questions (FAQ)With ibaAnalyzer-InSpectra, recorded vibration and process data can be analyzed in depth offline. The software bridges online monitoring from ibaInSpectra with the powerful analysis capabilities of ibaAnalyzer, enabling engineers to perform and refine FFT, order, and orbit analyses after recording. This helps identify the root causes of anomalies, vibrations, and quality issues with high precision.
ibaAnalyzer-InSpectra allows users to validate alarms and warnings using recorded raw data and stored calculation profiles. Engineers can adjust analysis parameters, modify frequency bands, or perform additional evaluations to distinguish false alarms from actual mechanical or process-related issues.
The integrated Orbit module within ibaAnalyzer-InSpectra visualizes shaft motion, eccentricity, and orbit behavior of rotating equipment such as turbines, motors, and gearboxes. Speed-dependent resampling, orbit visualization, and playback functions enable detailed analysis of imbalance, bearing wear, and alignment problems.
With ibaAnalyzer-InSpectra, vibration analysis can be directly correlated with process, machine, and quality data. This enables engineers to identify relationships between mechanical vibrations and operational events, such as the impact of vibrations on product quality, machine stability, or production parameters.
ibaAnalyzer-InSpectra supports long-term trend evaluation of frequency patterns and characteristic values across multiple measurements. This enables early detection of wear, optimized maintenance scheduling, and reduced unplanned downtime. Reusable analysis profiles and detailed offline diagnostics help establish efficient condition-based maintenance strategies.
With ibaAnalyzer-InSpectra, recorded vibration and process data can be analyzed in depth offline. The software bridges online monitoring from ibaInSpectra with the powerful analysis capabilities of ibaAnalyzer, enabling engineers to perform and refine FFT, order, and orbit analyses after recording. This helps identify the root causes of anomalies, vibrations, and quality issues with high precision.
ibaAnalyzer-InSpectra allows users to validate alarms and warnings using recorded raw data and stored calculation profiles. Engineers can adjust analysis parameters, modify frequency bands, or perform additional evaluations to distinguish false alarms from actual mechanical or process-related issues.
The integrated Orbit module within ibaAnalyzer-InSpectra visualizes shaft motion, eccentricity, and orbit behavior of rotating equipment such as turbines, motors, and gearboxes. Speed-dependent resampling, orbit visualization, and playback functions enable detailed analysis of imbalance, bearing wear, and alignment problems.
With ibaAnalyzer-InSpectra, vibration analysis can be directly correlated with process, machine, and quality data. This enables engineers to identify relationships between mechanical vibrations and operational events, such as the impact of vibrations on product quality, machine stability, or production parameters.
ibaAnalyzer-InSpectra supports long-term trend evaluation of frequency patterns and characteristic values across multiple measurements. This enables early detection of wear, optimized maintenance scheduling, and reduced unplanned downtime. Reusable analysis profiles and detailed offline diagnostics help establish efficient condition-based maintenance strategies.
