Innovation and Research for your Predictive Maintenance
June from 20th to 22th. Mecoil has participated to the SBK race in Misano for the 2014 World Championship. Mecoil technicians visited the Aprilia Racing Team box and had the great opportunity to get in touch with the beautiful RSV4
June 28th 2014 – Mecoil’s team has just come back after its second meeting in Romania with EMSIL, international partner of MIDA Manunet project. This visit officially kicked off the fourth phase of the project. During this phase MIDA prototype
June 17th-19th, 2014, was held the second annual session of courses to become Lubrication Specialist. There are many different industrial and service companies that attended the lessons, showing interest and cooperation in this three days in Florence. Among the many
Gianmarco and Matteo (as Mecoil delegates) received by Spectro Scientific CEO Brian Mitchell the first ever “Partnerhip award” dedicated to Dr. Giuseppe Adriani, as Mecoil founder. The reasons for such recognition are too many and definitely belong not only to
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2014, 27th March. It’s been a very busy and active training class with Mecoil technicians at Aprilia racing & testing facility in Noale. Well organized by the team Manager it’s been developed to improve the awareness of the management in
The development of the expert system MIDA goes ahead with the first potential users of the system from the cold Russia. Thanks to the cooperation with Bertacchi e Filippi’s Company, the Russian group “ILIM Group” that has as main activity
At Mecoil Laboratory on February 25th 2014, a training course was held on lubrication and oil analysis topics, for some technicians belonging to Florence and Massa Testing Facilities of Nuovo Pignone (GE Oil & Gas). A class of excellent quality
Sorry, this entry is only available in Italiano.
Understanding the root cause of abnormal machine wear helps you determine when it is occurring in your equipment. Spectro Inc.’s LaserNet Fines® is a proven particle size, count, and shape analyzer that identifies and quantifies wear particles for trend analysis.