Abstract: This disclosure creates a language that may describe how any type of equipment behaves. The scalable language may uniquely identify equipment and components of equipment. The language includes “words” comprising characters that can describe the sequence of operations of the equipment. The characters may describe characteristic signatures in power consumption signals of the equipment as well as components of the equipment over an operational cycle of the equipment. The characters, e.g., “glyphs” or “runes,” may use a scale-free format modeled after typography. These characters may be scaled to give different confidence levels when comparing the characters to monitored power consumption signals. The language also describes how the equipment transitions between events during the sequence of operation. A compiler may use this language to generate programming instructions that may cause processing circuitry to efficiently monitor equipment, including determining a state of health of the equipment.

Abstract: One embodiment provides a method, including: receiving, from at least one sensor operatively coupled to a mechanical device, sensor data corresponding to a function of the mechanical device; accessing, from an environmental database, information regarding at least one environmental condition in proximity to a geographical location of the mechanical device; generating, using a processor, a correlative value for the mechanical device, wherein the correlative value identifies a correlation between the sensor data corresponding to a function of the mechanical device and the at least one environmental condition; assigning the correlative value as a baseline correlative value to the mechanical device; monitoring the sensor data corresponding to a function of the mechanical device and the at least one environmental condition and updating the correlative value; identifying, using a processor, the correlative value for the mechanical device has exceeded a predetermined threshold as compared to the baseline correlative