Abstract: A digital transducer provides a digital output indicative of dynamic characteristics of machines and processes. The transducer sensors may be single-axis or multiple-axis accelerometers and other measurement sensors. The transducer may be hands-free and wireless in machinery monitoring applications. An integral magnetic mount assists with hands-free data collection. Digital data accumulated in transducer memory may be selectively decimated before or after transfer from the transducer to a remote analyzer. Wireless communications are used to upload measurement setups to the transducer and download data from the transducer to a handheld analyzer or remote computer. Analysis and interpretation of dynamic digital data streams are performed after data is downloaded.

Abstract: A hydrocyclone vibration measurement system includes an upper vibration sensor attached to the overflow of a hydrocyclone and a lower vibration sensor attached to the underflow of the hydrocyclone. A vibration analysis system includes an ADC, an overall vibration value processing channel, and one or more band pass filters. The overall vibration value processing channel generates overflow and underflow scalar vibration values representing overall vibration measured at the overflow and underflow portions of the hydrocyclone. The vibration analysis system may interface with a DCS to provide control information for controlling the hydrocyclone based on the overflow and underflow scalar vibration values.

Abstract: Useful and meaningful machine characteristic information may be derived through analysis of oversampled digital data collected using dynamic signal analyzers, such as vibration analyzers. Such data have generally been discarded in prior art systems. In addition to peak values and decimated values, other oversampled values are used that are associated with characteristics of the machine being monitored and the sensors and circuits that gather the data. This provides more useful information than has previously been derived from oversampled data within a sampling interval.

Abstract: An apparatus for acquiring repeatable and trendable performance data for monitoring the health of an articulating machine includes sensors, a programmable logic controller, a machinery monitoring system, and a display device. The sensors collect performance data as the machine performs prescribed motions. The programmable logic controller includes memory for storing motion predicate values that indicate motion conditions to be achieved as predicates to analysis of performance data as the machine performs the prescribed motions. A processor in the programmable logic controller compares the performance data to the motion predicate values to determine whether the motion conditions are being achieved as the machine performs the particular prescribed motion. A processor in the machinery monitoring system calculates analysis parameter values that indicate the health of the machine. These calculations are made using performance data collected while the motion conditions are being achieved.

Abstract: Useful and meaningful machine characteristic information may be derived through analysis of oversampled digital data collected using dynamic signal analyzers, such as vibration analyzers. Such data have generally been discarded in prior art systems. In addition to peak values and decimated values, other oversampled values are used that are associated with characteristics of the machine being monitored and the sensors and circuits that gather the data. This provides more useful information than has previously been derived from oversampled data within a sampling interval.

Abstract: A hydrocyclone vibration measurement system includes an upper vibration sensor attached to the overflow of a hydrocyclone and a lower vibration sensor attached to the underflow of the hydrocyclone. A vibration analysis system includes an ADC, an overall vibration value processing channel, and one or more band pass filters. The overall vibration value processing channel generates overflow and underflow scalar vibration values representing overall vibration measured at the overflow and underflow portions of the hydrocyclone. The vibration analysis system may interface with a DCS to provide control information for controlling the hydrocyclone based on the overflow and underflow scalar vibration values.

Abstract: An apparatus monitors a tumble mill and includes at least two vibration sensors mounted on a first main bearing and at least two vibration sensors mounted on a second main bearing of the mill. Sensors may be disposed radially with respect to the bearing. A vibration sensor is also connected to a thrust bearing of the mill oriented in a direction parallel to the rotational axis of the shell of the mill. A signal analyzer receives and analyzes signals from all vibration monitors on the bearings and displays an operating condition of the tumble mill. Additional vibration sensors may be mounted on the shell, and sensors may be provided to sense electrical power input and mechanical power output of the motors. In operation, the mill is loaded with a standard charge and operated at a standard rotational rate. The sensor data is analyzed and displayed when the mill is operating.

Abstract: An apparatus for acquiring repeatable and trendable performance data for monitoring the health of an articulating machine includes sensors, a programmable logic controller, a machinery monitoring system, and a display device. The sensors collect performance data as the machine performs prescribed motions. The programmable logic controller includes memory for storing motion predicate values that indicate motion conditions to be achieved as predicates to analysis of performance data as the machine performs the prescribed motions. A processor in the programmable logic controller compares the performance data to the motion predicate values to determine whether the motion conditions are being achieved as the machine performs the particular prescribed motion. A processor in the machinery monitoring system calculates analysis parameter values that indicate the health of the machine. These calculations are made using performance data collected while the motion conditions are being achieved.

Abstract: Useful and meaningful machine characteristic information may be derived through analysis of oversampled digital data collected using dynamic signal analyzers, such as vibration analyzers. Such data have generally been discarded in prior art systems. In addition to peak values and decimated values, other oversampled values are used that are associated with characteristics of the machine being monitored and the sensors and circuits that gather the data. This provides more useful information than has previously been derived from oversampled data within a sampling interval.

Abstract: A digital transducer provides a digital output indicative of dynamic characteristics of machines and processes. The transducer sensors may be single-axis or multiple-axis accelerometers and other measurement sensors. The transducer may be hands-free and wireless in machinery monitoring applications. An integral magnetic mount assists with hands-free data collection. Digital data accumulated in transducer memory may be selectively decimated before or after transfer from the transducer to a remote analyzer. Wireless communications are used to upload measurement setups to the transducer and download data from the transducer to a handheld analyzer or remote computer. Analysis and interpretation of dynamic digital data streams are performed after data is downloaded.