The most basic form of industrial maintenance is running equipment until it fails, sometimes known as reactive maintenance, or a ‘fix on fail’ approach. While this might make financial sense for certain low-value assets that aren’t critical to the business, many manufacturers instead adopt a preventative or predictive approach for all their industrial equipment. Preventative maintenance focuses on maintaining equipment according to a strict schedule to try and prevent problems occurring and costly machinery downtime. This schedule may be determined by the manufacturer of the equipment.
Manufacturing companies are also increasingly using predictive maintenance, in which networks of sensors on machinery relay its condition to the engineer, making it possible to determine when machinery is in danger of developing a fault or failing altogether. The Industrial Internet of Things, AI, and machine learning are used to analyse data and predict failure before it happens.
Precision maintenance goes a step further by working maintenance into a detailed system of all staff continually using set, planned techniques for operating, monitoring, cleaning, and maintaining a given machine, and documenting all this.