Nowadays in industry there is a great and increasing demand in resource management, taking into consideration the ever-growing complexity of technical systems. The concept of maintenance is one the most important topics of product development today. As the factories and the industry evolves, the need of proper maintenance plays a major factor in cost and efficiency optimization. In this paper a state of the art of maintenance techniques is presented, predictive maintenance being one of the biggest topics going forward. Predictive maintenance techniques are discussed and presented in detail creating the necessary links with nowadays industry advances: Industry 4.0.

As noise pollution has become an increasingly major factor in the quality of urban life, noise cancelling methods started to be a relevant option for everyday life. Starting from the first active noise cancelling headphones build for aircraft industry in order to facilitate communication between pilots, in the last decade, active noise cancelling products have become more and more relevant. Factories, military and lately, civil usage of active noise cancelling technology transformed this industry and made it widely available. The purpose of this paper is to demonstrate a practical way of active noise cancelling using LabVIEW. Two sound waves are guided through a cylindrical conduit and at a given position, by modifying the phase and amplitudes between the two signals, an amplitude close to zero is expected.

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