A method of identifying a failing part, in an operating pressurized fluid cutting system, the method comprising: actively sensing, via a first sensor (a, v, t, p, s, LK, 410LK, 420A, 420v, 420p, 420t, 420s, 420LK, 430a, 430v, 430p, 430t, 430s, 430LK, 440a, 440p, 440t, 440LK, 460a, 460v, 460p, 460t, 460s, 460LK, 470a, 470v, 470p, 470t, 470LK, 490a, 490t), a first characteristic of the pressurized fluid cutting system and gathering data pertaining to the sensed first characteristic, the first characteristic being selected from at least one of vibration, temperature, pressure, audio, stroke rate, and drip/leak; actively sensing, via a second sensor (a, v, t, p, s, LK, 410LK, 420A, 420v, 420p, 420t, 420s, 420LK, 430a, 430v, 430p, 430t, 430s, 430LK, 440a, 440p, 440t, 440LK, 460a, 460v, 460p, 460t, 460s, 460LK, 470a, 470v, 470p, 470t, 470LK, 490a, 490t), a second characteristic of the pressurized fluid cutting system and gathering data pertaining to the sensed second characteristic, the second characteristic selected from at least one of vibration, temperature, pressure, audio, stroke rate, and drip/leak; correlating by comparing and contrasting the data associated with the first characteristic, sensed by the first sensor (a, v, t, p, s, LK, 410LK, 420A, 420v, 420p, 420t, 420s, 420LK, 430a, 430v, 430p, 430t, 430s, 430LK, 440a, 440p, 440t, 440LK, 460a, 460v, 460p, 460t, 460s, 460LK, 470a, 470v, 470p, 470t, 470LK, 490a, 490t), and the second characteristic, sensed by the second sensor (a, v, t, p, s, LK, 410LK, 420A, 420v, 420p, 420t, 420s, 420LK, 430a, 430v, 430p, 430t, 430s, 430LK, 440a, 440p, 440t, 440LK, 460a, 460v, 460p, 460t, 460s, 460LK, 470a, 470v, 470p, 470t, 470LK, 490a, 490t) with each other and also against expected values to identify sensor readings and track changes against the expected values; wherein the first characteristic indicates a potential failure of at least one part of a first set of parts of the pressurized fluid cutting system, and wherein the second characteristic indicates a potential failure in at least one of a second set of parts of the pressurized fluid cutting system; and identifying a failing part, by computer-effectuated analysis of correlated data associated with the sensed first and second characteristics, wherein the identifying includes identifying a same physical part that is in the first set and the second set of parts. actively sensing, via a first sensor (a, v, t, p, s, LK, 410LK, 420A, 420v, 420p, 420t, 420s, 420LK, 430a, 430v, 430p, 430t, 430s, 430LK, 440a, 440p, 440t, 440LK, 460a, 460v, 460p, 460t, 460s, 460LK, 470a, 470v, 470p, 470t, 470LK, 490a, 490t), a first characteristic of the pressurized fluid cutting system and gathering data pertaining to the sensed first characteristic, the first characteristic being selected from at least one of vibration, temperature, pressure, audio, stroke rate, and drip/leak; actively sensing, via a second sensor (a, v, t, p, s, LK, 410LK, 420A, 420v, 420p, 420t, 420s, 420LK, 430a, 430v, 430p, 430t, 430s, 430LK, 440a, 440p, 440t, 440LK, 460a, 460v, 460p, 460t, 460s, 460LK, 470a, 470v, 470p, 470t, 470LK, 490a, 490t), a second characteristic of the pressurized fluid cutting system and gathering data pertaining to the sensed second characteristic, the second characteristic selected from at least one of vibration, temperature, pressure, audio, stroke rate, and drip/leak; correlating by comparing and contrasting the data associated with the first characteristic, sensed by the first sensor (a, v, t, p, s, LK, 410LK, 420A, 420v, 420p, 420t, 420s, 420LK, 430a, 430v, 430p, 430t, 430s, 430LK, 440a, 440p, 440t, 440LK, 460a, 460v, 460p, 460t, 460s, 460LK, 470a, 470v, 470p, 470t, 470LK, 490a, 490t), and the second characteristic, sensed by the second sensor (a, v, t, p, s, LK, 410LK, 420A, 420v, 420p, 420t, 420s, 420LK, 430a, 430v, 430p, 430t, 430s, 430LK, 440a, 440p, 440t, 440LK, 460a, 460v, 460p, 460t, 460s, 460LK, 470a, 470v, 470p, 470t, 470LK, 490a, 490t) with each other and also against expected values to identify sensor readings and track changes against the expected values; wherein the first characteristic indicates a potential failure of at least one part of a first set of parts of the pressurized fluid cutting system, and wherein the second characteristic indicates a potential failure in at least one of a second set of parts of the pressurized fluid cutting system; and identifying a failing part, by computer-effectuated analysis of correlated data associated with the sensed first and second characteristics, wherein the identifying includes identifying a same physical part that is in the first set and the second set of parts.