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| About | Cost, safety, availability and reliability are the main reasons why key industrial players are investing in predictive maintenance. Predictive maintenance allows factories to monitor the condition of in-service equipment by measuring key parameters like vibration, temperature, pressure and current. Such monitoring requires connected smart sensors featuring a high-speed signal chain, powerful processing, and wired and/or wireless connectivity. The current trend is leaning toward wireless connectivity because it is possible to cover remote locations and does not add extra wiring costs. Wireless connectivity converts existing equipment into smart equipment (rather than replacing it), enabling users to plan maintenance based on actual needs and increasing productivity and efficiency. That is the ultimate goal of Industry 4.0. |
| Presenter | contentimage_107116.jpg-168x250.jpg?sv=2016-05-31&sr=b&sig=yS4yBfKXk%2BNV22uQRGCdRaDbx%2BMPs4ffZuq95KaoaOw%3D&se=2026-09-28T23%3A59%3A59Z&sp=r&_=HQ37iuJRqwUN68SE1q7NSA== Giovanni Campanella, Systems Engineer
Giovanni Campanella is a systems engineer at Texas Instruments, where he is responsible for defining and developing reference design solutions for the industrial segment. He earned his bachelor's degree in electronic and telecommunication engineering at the University of Bologna and his master's degree in electronic engineering at the Polytechnic of Turin in Italy. He is an expert in sensors and analog signal chain. |
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