Intelligent Maintenance uses AI, sensors, and connected equipment to identify potential problems and improve maintenance activities. It collects information such as temperature, vibration, pressure, or operating time and analyzes it to understand the condition of machines. This allows maintenance teams to detect warning signs and plan repairs before equipment fails unexpectedly.
For example, a factory can use it to detect unusual vibration in a motor and schedule servicing before the motor breaks down. This helps avoid unexpected production stoppages and costly repairs. It is useful in manufacturing, transportation, energy, utilities, and other industries that depend on machinery. By identifying problems early, it can reduce downtime, extend equipment life, improve safety, and make maintenance more efficient.
