Understand through many cases with diagrams and photos! Directly applicable to practical vibration countermeasures, while also learning basics of machine design and noise measurement.

A seminar full of technical know-how that clarifies why “although correctly measured, results become misleading” in vibration measurement and analysis. Content based on consulting expertise.

Learn how to understand the essence of problems from the perspective of vibration, noise, and mechanical design, and apply effective design improvements. Practical content to avoid misguided countermeasures.

For those who find vibration in rotating machinery difficult to understand. Unlike translational vibration, rotational vibration is harder to grasp, but this seminar explains it clearly without complex mathematics.

Includes balancing methods and predictive failure diagnosis using machine learning. Practical content that can be immediately applied.

Explains vibrations caused by bearings, one of the main components generating vibration in rotating machinery. Provides practical content directly linked to diagnosis and countermeasures.

Explains important topics not covered in other gear vibration seminars, such as harmonics, sidebands, modulation, and grease lubrication. Not limited to FFT frequency analysis, but also explains causes and solutions of gear vibration and noise.

Explains how to quickly identify problems at the design stage using manual vibration calculations before relying on FEM. A long-awaited technique for mechanical design engineers.

Explains fundamentals of FEM vibration analysis and key points from a practical perspective different from software vendors.

Explains how to correctly interpret FEM results and apply them to design evaluation and improvement.

Compares experimental modal analysis and operating deflection shapes with FEM results. Learn practical methods for design improvement from vibration and noise perspectives.

Explains practical damping design methods that are not written in textbooks and are not commonly taught, enabling efficient and appropriate damping application.

Reconstructs Excel vibration data into a form suitable for decision-making by adding features, and applies AI for practical decision support.

Uses AI and measured data to identify and counteract hidden causes of vibration that cannot be detected with conventional methods.

Reconstructs large vibration datasets including self-excited vibration into usable forms with AI, enabling practical analysis from cause identification to anomaly detection.

Learn practical methods for improving ride comfort in engine and hybrid vehicles, from vibration causes to design improvements.