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  • SKF acquires industrial AI company
    Gothenburg, 7 October 2019: SKF has signed an agreement to acquire Presenso Ltd., a company that develops and deploys artificial intelligence (AI)-based predictive maintenance software. Presenso’s AI capability enables production plants to find and act on anomalies that were previously difficult to
    2019 10-10
  • NTN Exhibits at “2nd RoboDEX Nagoya”
    DateSeptember 18 (Wed) to 20 (Fri), 2019VenuePortmesse Nagoya(2-2 Ariake, Kinjofuto, Minato-ku, Nagoya City)Booth No.7-117Link to NTN's Robot-related ProductsLink to the official siteNTN Corporation (hereafter, NTN) will exhibit at “2nd RoboDEX Nagoya” held at Portmesse Nagoya on September 18 to 20.
    2019 09-30
  • NSK's Fight Against Counterfeiting Continues with New App
    NSK Ltd. (NSK; Headquarters: Tokyo, Japan; President and CEO: Toshihiro Uchiyama) works closely with the WBA (World Bearing Association), JBIA (Japan Bearing Industry Association), and authorities around the world to enforce law and order on counterfeiters and eliminate fake bearings. We have cooper
    2019 09-29
  • Silent running: SKF reveals Silent Series ball bearings for spindles
    SKF has unveiled its Silent Series super-precision angular contact ball bearings (ACBBs) for the production of grease-lubricated spindles.
    2019 09-28
  • Nomination Committee of AB SKF for the Annual General Meeting 2020
    2019 September 16, 08:00 CESTGothenburg, Sweden,16 September 2019: In accordance with a resolution taken at the Annual General Meeting of AB SKF on 28 March 2019, this is to announce the representatives of the four largest shareholders by number of votes, who, together with the Chairman of the Board
    2019 09-17
  • Wind turbine reliability dashboard co-developed by SKF and Boralex will help reduce operating costs
    SKF and Boralex jointly announce the co-development of a new solution for wind turbine operators named “Wind Reliability Dashboard”. This combines data from multiple sources, including condition monitoring and manufacturing information for spare parts, allowing operators to optimise the efficiency of each wind farm, as well as improving reliability and predictability of defaults.
    2019 09-12
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