KK English - KK - The "Balancing Center" Zella-Mehlis - Start and Development ...

 

 

 

 

 

 

 

 

 

 

The "Balancing Center" Zella-Mehlis - Start and Development 

The innovative "Balancing Competence Center", hereinafter referred to as "Balancing Center" (www.Auswuchtzentrum.com), was gradually established in Zella-Mehlis in 2019. The initiators of this ambitious project were Thomas Niehle, Managing Director of Turbokompakt GmbH, and Dr. Kersten Kämpfer, a renowned balancing specialist and now Technical Director of the Balancing Center, who also holds two innovative patents ('Universal Balancing Machine' and 'Fine Balancing and Vibration Testing Station') in the field of industrial balancing technology.

The vision of these two gentlemen was to establish a powerful and specialized facility for precise contract balancing (www.Lohnwuchten.de) of various rotating industrial products and additionally to create a solid basis for new developments in balancing machines and other innovative balancing solutions. In the following years, the continuous expansion took place, particularly of the Balancing Center's balancing machine park. 

New balancing machines were conceived, designed, and built, and numerous used balancing machines were acquired, wear parts replaced, and the balancing measurement electronics brought up to the latest state of the art, so that subsequently, even with the used balancing machines, the highest balancing accuracies could be achieved. 

At the beginning of 2023, the "Balancing Center" already had access to more than 14 special vertical and horizontal balancing machines as well as specific special machines with multiple application principles. 

This diversity has since made it possible to cover a very wide range of rotor types with complex rotor geometries, from under 100 g to over 3,000 kg of rotor masses to be balanced. The technical innovations of the "Balancing Center" include high-precision balancing systems equipped with sensitive velocity and acceleration sensors for unbalance detection on the balancing machines. 

These enable the exact recording of vibration amplitudes and unbalance vectors. The determined unbalance amounts are minimized in the mass compensation planes at the various unbalance angles, for example, with mass removal methods such as drilling, milling, or welding processes on the balancing machine itself or at external balancing stations to the desired balancing quality grade. In most cases, this requires several measurement, testing, and mass compensation processes. 

Advanced frequency analysis methods, based on Fast Fourier Transform and adaptive filter algorithms, select and eliminate interference signals. High-resolution encoder incremental systems ensure precise determination of unbalance positions in the existing balancing planes to reliably determine the unbalances. For the various unbalance corrections, the "Balancing Center" uses, in addition to the classic methods, other innovative compensation methods such as laser-based material removal systems with highest positioning accuracy and fine corrections. 

Adaptive mass correction strategies with automatic feed and depth control, which are used particularly in powerful automatic balancing machines, complement the aforementioned methods. Intelligent and increasingly AI-based algorithms in industrial balancing technology for optimizing unbalance detection and compensation weight placement take into account not only the mass but also, in special cases, the aerodynamic or other special properties of the rotors. 

The high performance, professional competence, and competitiveness of the "Balancing Center" are based on the interdisciplinary and highly experienced team of experts and the continuous research and development of new balancing concepts and balancing machines. AI-supported analysis methods, based on neural networks and machine learning, are increasingly optimizing balancing processes and significantly reducing cycle times. 

Comprehensive AI-supported data and experiential knowledge management enables fast and precise analysis of demanding customer-specific problems and the resulting balancing technical solutions. Currently (year 2024), the Balancing Center is undergoing further expansion to provide customers with increasingly powerful and economical contract balancing and service offerings.

In addition to pure balancing services, the center now also offers comprehensive consultations, training, service, repairs, and much more. The extensive range of services underscores the effort to offer holistic solutions for various aspects of industrial balancing technology, from the development of new balancing technical approaches to the conception and manufacture of new, innovative balancing machines or efficient modernizations and general overhauls of solid used balancing machines. 

Through the listed technical innovations and the bundled know-how of the involved experts, designers, and balancing technical specialists of the company, the "Balancing Competence Center" is able to efficiently, very precisely, and affordably solve even complex and very demanding balancing tasks for customers. 

The "Balancing Center" in Zella-Mehlis thus positions itself as one of the leading providers for demanding and competitive balancing solutions in the industry. 

KK English - KK - Innovative Measurement Methods in Industrial Balancing Technology ...

 

 

 

 

 

 

 

 

 

"Innovative Measurement Methods in Industrial Balancing Technology"

1. High-precision Measurement Sensors

2. Efficient Fourier Transformation

3. Adaptive Signal Filtering

4. Multidimensional Spectral Analysis

5. AI-supported Evaluation

6. Real-time Balancing Systems

7. Conclusion and Outlook

8. High-precision Measurement Sensors

In modern balancing technology, highly accurate sensors play a crucial role. Piezoelectric acceleration sensors utilize the piezoelectric effect to convert minute vibrations into electrical signals. Laser optical displacement measurement systems enable non-contact measurement of distances with extremely high accuracy. By using multiple sensors at various points on the rotor, a comprehensive picture of the vibrations can be obtained. These technologies allow for the detection of imbalances in the range of a few micrometers, which is essential for precise balancing.

2. Efficient Fourier Transformation

Fourier transformation is a mathematical method that decomposes time signals into their frequency components. In balancing technology, the Fast Fourier Transform (FFT) is frequently used. It converts the measured vibration signals into a frequency spectrum, making the characteristic frequencies of the imbalance visible. Modern FFT algorithms such as the "Cooley-Tukey FFT" or the "Split-Radix FFT" enable particularly fast computation. This is especially important for real-time analysis of large amounts of data, as encountered in the continuous monitoring of industrial plants. Efficient Fourier transformation helps technicians to quickly and precisely identify and locate imbalances.

3. Adaptive Signal Filtering

Adaptive signal filtering is an advanced method for improving signal quality. It automatically adapts to changing signal properties. A promising approach combines so-called Long Short-Term Memory (LSTM) networks with Zero-Phase Filters (ZPF). LSTM networks are a special form of artificial neural networks that are particularly good at recognizing temporal dependencies in data. They are trained to precisely extract the amplitude of the imbalance signal. Zero-Phase Filters ensure that the filtering does not cause a phase shift in the signal, which is important for accurately determining the imbalance position. This combination enables very accurate and interference-resistant signal processing, significantly improving the reliability of balancing.

4. Multidimensional Spectral Analysis

Multidimensional spectral analysis extends classical frequency analysis by additional dimensions. An example of this is Full Spectrum Analysis. It considers not only the amplitude of vibrations at different frequencies but also their direction. This allows for a comprehensive examination of the vibration characteristics in forward and backward directions. This is particularly advantageous for complex rotors, such as those found in large industrial plants. Multidimensional spectral analysis helps technicians to better understand complicated imbalance phenomena and correct them more specifically. It is particularly useful for asymmetric rotors or when multiple imbalances occur simultaneously.

5. AI-supported Evaluation

Artificial Intelligence (AI) is revolutionizing the evaluation of imbalance data. Neural networks, a form of AI, can recognize complex patterns in vibration data that are often difficult for humans to identify. Convolutional Neural Networks (CNN), originally developed for image processing, are used to analyze spectrograms. Spectrograms are visual representations of frequency distribution over time. CNNs can recognize characteristic patterns of imbalances in these "images". Recurrent Neural Networks (RNN) are particularly well-suited for analyzing time series, i.e., data that change over time. They can recognize trends and patterns in the vibration data and thus provide early warnings of developing imbalances. These AI methods enable automatic error detection and can even make predictions about future imbalances. For technicians, this means a significant reduction in workload and the ability to identify problems before they become critical.

6. Real-time Balancing Systems

Real-time balancing systems represent a significant advancement in balancing technology. They enable continuous correction of imbalance during machine operation. These systems use electromagnetic actuators or fluid technology to dynamically adjust the mass distribution of the rotor. Electromagnetic actuators can influence the effective mass distribution through targeted magnetic fields, while fluid-based systems pump small amounts of liquid into balancing chambers. The great advantage of this technology lies in its ability to adapt to changing operating conditions. This is particularly important in applications where imbalance can change during operation, such as in machine tools or energy generation. For technicians, this means a significant reduction in manual balancing effort and an improvement in machine smoothness over long periods.

7. Conclusion and Outlook

The integration of modern measurement, signal processing, and evaluation methods opens up new possibilities in industrial balancing technology. The combination of high-precision sensors, efficient signal processing, and intelligent evaluation algorithms enables unprecedented accuracy and efficiency in minimizing imbalances. For technicians and engineers in industry, this means a significant improvement in work processes and result quality. The implementation of these technologies leads to an increase in product quality, an improvement in energy efficiency, and an extension of the lifespan of rotating machines. In the future, further integration of AI methods and the development of even more precise sensors will continue to revolutionize balancing technology. It is expected that fully automatic, self-learning balancing systems will increasingly find their way into industrial practice, shifting the role of the technician from manual executor to supervisor and optimizer of complex systems.  

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This article was written with the support of my personal AI chatbot "Max".
Cyberneticist and Specialist in Automation Technology
Dr.-Ing. Kersten Kaempfer / 2024"