How to move past IT entanglement to unlock AI-based Asset Management
Modern energy facilities are more automated and interconnected than ever. From rooftop solar and district cooling in bustling Asian cities to large-scale WtE plants and grid-scale renewables, these facilities face unique challenges: intermittency in solar and wind output, rapid asset aging in humid/tropical climates and cascading risks across urban grids.
read moreIoT for predictive maintenance and the hidden complexity behind its successful, practical, implementation
IoT, Digital Twins, Industry 4.0 have been hot topic for several years already. Vendors tend to make near-magical promises. “Predictive maintenance” is often called a low hanging fruit for such technologies, usually by people who ignore the fundamentals of maintenance.
read moreA few stories from the early years of Siveco China
During the Beijing Winter Olympics, our Managing Director Bruno Lhopiteau started to share old stories on social media, stories that younger Siveco China team members and newer clients had never heard before. As these posts received many likes and positive comments on WeChat and LinkedIn, our newsletter team has compiled some of them in this article (text slightly modified from Bruno’s posts).
read moreKeep going
Historically (and Siveco already has 35 years of history, 16 of which in China), economic crises are favorable to the growth of maintenance-related business, as many companies will focus on optimizing existing assets. It is too early to tell, but we indeed see encouraging signs, such as a marked increase in the number of incoming enquiries to our marketing, both for China and overseas market (Southeast Asia and Africa).
read morePredictive maintenance: information overload, the Cassandra effect
This is the second article in a series on the hot topic of Predictive Maintenance, drawing on the practical experience of Siveco working with maintenance improvement in China and the Asia region in the past 20 years. As seen in the first article Predictions on Predictive Maintenance: it will fail… unless., ‘right data’ is better than ‘big data’.
read moreSiveco more committed than ever to Smart Maintenance in China: feedback from SMC2020
The Smart Maintenance Conference 2020 (SMC2020) was held in Shanghai on September 2-3, attracting a large numbers of industry professionals and experts to share their perspectives on developing trends and latest technologies. As the event, initially planned in February 2020, was postponed due to the COVID-19 crisis, many vendors and suppliers had chosen not to join or to reduce their participation. On the contrary, Siveco decided to prove its continuing commitment to China’s maintenance community with a particularly strong showing at this year’s...
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