

In manufacturing maintenance, the most persuasive factor is not "theory," but "on-site results." This category provides a comprehensive collection of specific implementation cases and empirical data showing how the Wi-Fi vibration sensor "conanair" operates and achieves results in harsh, real-world manufacturing environments.
We disclose solutions that are often difficult to achieve with other tools, such as retrofitting legacy equipment where wiring is impossible and conducting empirical experiments for actual bearing damage detection. In addition to real feedback from industry leaders like JERA and Chiyoda Corporation, we present analysis cases of abnormal waveforms captured on-site without reservation, proving our hands-on problem-solving process.
Beyond hardware implementation, we also explain how to build a remote monitoring system with zero monthly running costs by leveraging free Google tools. Furthermore, by taking advantage of conanair's strength in saving and opening "Raw Data" efficiently, we cover cutting-edge maintenance DX cases linked with Digital Twins and Generative AI, as well as technical evaluations in professional journals and academic societies. Please find the optimal implementation hints for your facility's environment from the list of articles below.