Using ifm sensors for predictive maintenance [Use-Case] скачать в хорошем качестве

Using ifm sensors for predictive maintenance [Use-Case]

[Subtitles] Hayat Holding, which produces MDF, particleboard and parquet flooring, was founded in 1937 in İstanbul. Kastamonu Entegre is committed to using sensors for predictive maintenance to ensure reliability across all sites. The high costs associated with plant shutdowns of more than one day underlined their need for advanced technology. Previously, their sensors only detected vibrations and displayed the values on screens. Now, with ifm sensors, they can detect mechanical problems such as bearing failure, mechanical looseness, and axial misalignment. These sensors have proven particularly effective on critical equipment such as hot oil pumps and fans. The transition from periodic, monthly measurements to online monitoring has greatly improved their ability to achieve continuous tracking and analysing. We at ifm are proud to support Kastamonu Entegre in all aspects. Our availability is critical to their operations, and we provide reliable support at all times, even outside normal working hours. 💡 Find out more about our success stories: https://www.ifm.com/de/en/shared/topi... ------ ▶️ Subscribe now: https://www.youtube.com/c/ifmgroup?su... ------ Follow ifm online: LinkedIn:   / ifm   Facebook:   / ifm.electronic   Instagram:   / ifm_electronic   ------ #predictivemaintenance #ifm #sensor