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ST/Industrial Sensing Solutions 8 LPS33W MEMS Pressure Sensors • Absolute pressure sensor with potted gel package with a full-scale range from 260 to 1260hPa • 24-bit pressure data output with a current consumption down to 3μA • High overpressure capability: 20x full scale with the embedded temperature compensation LEARN MOREu IIS2DLPC MEMS Digital Output Motion Sensor • Multiple full scale range options (±2g/±4g/±8g/±16g) and multiple operating modes reconfigurable on the fly: From ultra-low-power to high-performance high-resolution mode • Ultra-low power consumption: 50nA in power-down mode, below 1μA in active low-power mode, 120μA in high-performance mode • Very low noise (down to 90μg/√Hz) with multiple output data rates from 1.6Hz to 1600Hz; bandwidth up to 800Hz; also with the option of single data conversion on demand LEARN MOREu a concept phase to full implementation over the last few years. These advances have enabled the development of additional intelligence and machine-to-machine com- munications and interactions that have led to improved efficiency, reduced overall cost, and increased productiv- ity. For example, a smart manufacturing facility can order its raw material itself and can schedule its maintenance before any equipment or machine of the factory reach- es a failed state. It also improves working conditions and manages potentially risky and dangerous manufacturing processes more safely. One of the most critical aspects of the productive industry is the Predictive Maintenance (PdM). PdM is about collecting a large amount of data via sensors and other tools, developing algorithms, and predictive models via artificial intelligence and machine learning technologies. PdM is expected to become the killer application for the Internet of things. The production line-down has direct impact on the bottom-line of the company. To reduce the number of production line-downs, it becomes essential to minimize the time interval between the potential failure and the functional failure of the machines in operation. Potential failure is the point at which it is possible to detect that the fault is going to take place. Functional failure takes place at the time at which the performance requirements are no longer satisfied, and that means that the machine functionally fails. The cost of maintenance would increase as machine moves closer to the failed state. The mainte- nance services have to take place more often to reduce the cost. Depending on the type of the factory, there is a list of predictive indicators that need to get checked. Some of the primary indicators are ultrasound, vibration, noise, heat, and smoke.

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