Predictive maintenance & condition monitoring
and a steady draining of institutional memory as the older generation reaches retirement age. At the same time, just about every sector is operating under greater pressure than ever before, with less room for mistakes or unplanned downtime. Maintenance teams are on the front lines of this new reality. Despite this, the future of maintenance is bright, thanks to a new revolutionary approach that tackles these problems with both people and technology: Industry 5.0. The next phase of the industrial revolution is agile, connected, and cooperative. It harnesses the power of Artificial Intelligence (AI) and the Industrial Internet of Things (IIoT) so that maintenance teams can operate more efficiently, even when they face labour and expertise constraints.
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Industry 5.0 uses connectivity and smart data to reduce waste and cut costs while keeping equipment up and running for much longer. New technologies that enable predictive maintenance, for example, are becoming increasingly popular. The global market for these products is growing – by 2024, predictive maintenance alone will be a $23.5 billion industry, according to IOT Analytics.
Now is the time learn how Industry 5.0 technologies, from AI to IIoT and predictive maintenance systems, are changing the industry.
THE EMERGENCE OF INDUSTRY 5.0 The fifth industrial revolution, or Industry 5.0, is a new method of working. Its goal is to help every operation reach its maximum potential by allowing workers to focus on what they do best. Workflows move back and forth between humans and AI, so that lean maintenance teams can give a higher level of care to more assets.
On some level, this will feel familiar to
he outlook for industrial maintenance can seem daunting. Maintenance teams are increasingly plagued by severe labour shortages – particularly a lack of experienced technicians
INDUSTRY 5.0: THE FUTURE OF MAINTENANCE
teams that have already joined the fourth industrial revolution and have been using a predictive maintenance strategy in their plants. Predictive maintenance uses vibration sensors to monitor critical assets on a continual basis. Sensors pick up on changes in equipment vibration patterns or temperature; even tiny changes can indicate that a machine is developing a new defect. The sooner that maintenance teams spot these defects, the easier it is to make repairs. Predictive maintenance and condition monitoring save maintenance teams time and costs. These Industry 4.0 maintenance technologies keep critical assets up and running for longer, and they improve productivity wherever they’re applied. Once they have implemented predictive maintenance, 91 per cent of businesses reduce repair time and unplanned downtime, CXP Group found. Industry 5.0 takes the predictive maintenance model and combines it with artificial intelligence to present a new concept for maintenance teams.
INDUSTRY 5.0 EXTENDS THE REACH AND SCOPE OF CONDITION MONITORING Today, cloud computing and low-cost, high-performance edge technology are already making vibration sensors an affordable choice for most plants. Wireless technology also makes constant connectivity
easier than ever before. Modern teams can share data, feed it into analytics programs, and compare it to historical data at an astonishing speed. Workers at one plant can share data with decision-makers thousands of miles away. Experts can provide guidance around the clock.
The cloud, combined with modern CMMS software, keeps teams on the same page, breaking down silos and enabling consistent, far-reaching proactive maintenance strategies.
INDUSTRY 5.0 DOES NOT JUST MEAN USING THE SAME CONDITION MONITORING APPROACH IN MORE LOCATIONS
Industry 5.0 also means expanding the use of analytic tools so that workers aren’t overburdened sifting through piles of data. Advances in AI and data analytics mean that cloud-based CMMS software can filter data, spot anomalies, and make recommendations about how to address it. Then, a human expert can come in and analyse the problem. “By having AI assisting a human being, we make sure that maintenance teams are optimising where they’re applying their expertise,” explains Aaron Merkin, chief technology officer at Fluke Reliability. “There will always be a need for human expertise. But as plants grow larger and more complex, there simply aren’t enough hours in the day for workers to do everything. Algorithms cut
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October 2023 Instrumentation Monthly
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