{"id":15166,"date":"2020-09-01T14:46:15","date_gmt":"2020-09-01T12:46:15","guid":{"rendered":"https:\/\/www.yokogawa.com\/eu\/blog\/renewables\/predictive-maintenance-smart-sensors\/"},"modified":"2025-03-20T14:44:01","modified_gmt":"2025-03-20T13:44:01","slug":"predictive-maintenance-smart-sensors","status":"publish","type":"post","link":"https:\/\/www.yokogawa.com\/eu\/blog\/renewables\/en\/predictive-maintenance-smart-sensors\/","title":{"rendered":"“Predictive Maintenance with Smart Sensors”"},"content":{"rendered":"

New times call for new ways of working. Many changes are also taking place within the process industry. Remote communication is now more important than ever. The Industrial Internet of Things (IIoT) makes it possible for machines, robots, and smart sensors to communicate wirelessly with each other. The generated data improves maintenance processes and improves plant efficiency. In 2019, Yokogawa launched the first smart sensor in Europe – the Sushi Sensor<\/a>. Recently two new variations have been added<\/a> \u2013 a wireless temperature sensor and a wireless pressure sensor, which simplify the online collection of temperature and pressure data. Smart Sensors collect useful data during the plant processes. But how do they contribute to predictive maintenance? We conducted an interview with Bart van Haagen, a specialist in the field of field instrumentation and smart sensors.<\/em><\/p>\n

25+ years of experience with smart sensors<\/h2>\n

This year, Bart van Haagen (Business Unit Marketing Manager at Yokogawa Europe) will be working for Yokogawa for 34 years. Bart works at Yokogawa Europe’s headquarters in Amersfoort, the Netherlands. With a background in process control, such as controllers and DCS systems, Bart previously worked mainly with the smaller systems such as the STARDOM. Later he was transferred to the Process Control Instruments (PCI) department, where he has gained over 25 years of experience in the field of field instrumentation, including smart sensors.<\/p>\n

Conservative industry<\/h2>\n

Bart completed his studies at TU Delft in the 1990s. Back then, he already predicted that big changes will take place in the industry.<\/p>\n

“New ideas emerged at the time, but the industry was still quite conservative. Gradually we\u2019re seeing those ideas being adapted in the industry now \u2013 that\u2019s 30 years later!” <\/em><\/p><\/blockquote>\n

Bart recognizes many concepts from the past, such as the term ‘smart sensor’ which in fact emerged years ago.<\/p>\n

“When I joined Yokogawa, we were already talking about a smart sensor. The intelligence transfers from the top to bottom in the industrial automation pyramid. In the past, sensors were not considered \u2018smart\u2019 – they only had one signal, so the \u2018smart\u2019 part was mostly in the DCS system. At that time, customers had no idea what they could do with all the data”.<\/em><\/p><\/blockquote>\n

Enabling predictive maintenance with smart sensors<\/h2>\n

Smart sensors play a crucial role in the maintenance of the future. Predictive maintenance improves uptime. Downtime as a result of unnecessary maintenance or defects is reduced, while the maintenance work that is needed can be planned in advance. Bart enjoys working with new, challenging concepts. This is exactly the case with the new Yokogawa IIoT sensor – Sushi Sensor – which was officially launched in Europe in 2019. It is a small, compact, wireless device equipped with scanning and communication functions and has been specially developed to detect vibrations, surface temperatures, and pressure data from plant equipment.<\/p>\n

Sushi Sensor: 7 Frequently Asked Questions<\/a><\/p><\/blockquote>\n