Abstract: Only snapshot data necessary for monitoring faults are collected from machine such as vehicles, allowing faults to be more accurately monitored, and the amount of data and the memory storage volume at a monitoring station to be reduced. The values of a plurality of (A), (B), (C), and (D) operating parameters (engine rotational speed, lever operating position, vehicle speed, and tractive force) which change during the operation of the machine are sequentially detected for each machine. The fault detection history data are thus updated every time a fault (drop in engine oil pressure, overheating) is detected during the operation of the machine.

Abstract: Maintenance due times of components of a machine are determined according to the status of user-performed in-house maintenance and according to the occurrence of abnormalities during machine operation. A subtraction point (20 points) associated with an abnormality (overheating) detected during machine operation is subtracted from the score (80 points) of a corresponding component (engine) in the machine. An addition point (50 points) associated with the type of maintenance (overhaul performed by in-house maintenance) indicated in maintenance information is added to the score (80 points). Thus, at the time where the value resulting from subtractions from and additions to the score for that component (engine) reaches a prescribed value (10 points) indicating maintenance due time, it is determined that the maintenance due time for that component (engine) has been reached.

Abstract: In engine abnormality detection, the engine output is measured, and values of a specific operating variable of the fuel system, the lubrication system, the cooling system, the intake system, or the exhaust system of the engine, are measured and the specific values are converted to corrected data values at the equivalent rated power point, which are compared to corresponding threshold values in order to detect an abnormality in the respective system.