A system, method, and computer-readable medium are disclosed for attesting determining computer system fan usage and maintenance. A determination is made as to the architectural diagram or layout of a computer system. The diagram or layout shows components and fans that support the components. The architectural diagram or layout, where each virtual section shows a fan and the components. Operational load is determined for each virtual section over a period of time. A threshold value for particular periods to time, where the threshold value either is to low load periods or as to periods to increase or decrease speed of the fan to address operational load of the components.

A system and method for detecting abnormal operating conditions in a machine through the analysis and comparison of radar areas after the transformation of waveform data collected from machine parts. An example embodiment is configured to: generate a monitoring signal in response to the behavior of a machine while the machine is in operation; simultaneously monitor two or more spectrums in the monitoring signal; collect data for two ore more spectrums at times when the machine is operating normally to establish an operational baseline of said machine; identify a respective energy level in each of the two or more spectrums; process waveform data corresponding to each of said identified energy levels into a Fast Fourier Transform radar plot; determine an area that corresponds to the FFT radar plot; correlate changes in the area of the FFT radar plot with changes in spectrum data and changes in the operation of the machine.

A system and method for detecting abnormal operating conditions in a machine through the analysis and comparison of radar areas after the transformation of waveform data collected from machine parts. An example embodiment is configured to: generate a monitoring signal in response to the behavior of a machine while the machine is in operation; simultaneously monitor two or more spectrums in the monitoring signal; collect data for two ore more spectrums at times when the machine is operating normally to establish an operational baseline of said machine; identify a respective energy level in each of the two or more spectrums; process waveform data corresponding to each of said identified energy levels into a Fast Fourier Transform radar plot; determine an area that corresponds to the FFT radar plot; correlate changes in the area of the FFT radar plot with changes in spectrum data and changes in the operation of the machine.

A work machine includes: a work implement including a bucket; a bucket position obtaining unit that obtains a position of the bucket; a distance calculating unit that calculates a distance between the position of the bucket obtained by the bucket position obtaining unit and a design topography of an execution object; and a recording unit that records existing topography data corresponding to the position of the bucket, based on the distance calculated by the distance calculating unit.

A work machine includes: a work implement including a bucket; a bucket position obtaining unit that obtains a position of the bucket; a distance calculating unit that calculates a distance between the position of the bucket obtained by the bucket position obtaining unit and a design topography of an execution object; and a recording unit that records existing topography data corresponding to the position of the bucket, based on the distance calculated by the distance calculating unit.

A system and method for detecting abnormal operating conditions in a machine through the analysis and comparison of radar areas after the transformation of waveform data collected from machine parts. The system and method may detect abnormal operating conditions at times when the machine under evaluation remains fully operational in its intended working environment. The system and method may identify abnormal machine function at a point in the machine wear cycle when an abnormal function is not apparent to a human observer.

A system and method for detecting abnormal operating conditions in a machine through the analysis and comparison of radar areas after the transformation of waveform data collected from machine parts. The system and method may detect abnormal operating conditions at times when the machine under evaluation remains fully operational in its intended working environment. The system and method may identify abnormal machine function at a point in the machine wear cycle when an abnormal function is not apparent to a human observer.