Abstract:
A diagnostic system includes a vibration sensor mounted on a machine to measure vibrations. Vibration signals from the sensor are processed and analyzed by the system. From a known critical frequency of a vibration-generating component, the system measures the amplitude of the vibration signal at more than one harmonic frequency of the known critical frequency and compares the amplitudes to amplitudes at adjacent harmonic frequencies. When a relatively large amplitude is found at a harmonic frequency, that is a harmonic frequency near a resonant frequency of the physical path between the vibration sensor and the vibration-generating component, the system analyzes the shape and magnitude of the vibration signal around that harmonic frequency to evaluate the condition of the machine.
Abstract:
A system for determining at least one condition of a seal including an optical fiber for transmitting light from a light source. The optical fiber is embedded in the seal and operatively coupled to an interferometric system. The interferometric system is operatively coupled to a processor. The interferometric system provides the processor with information relating to wear of the optical fiber, and the processor determines wear of the seal, rate of wear and remaining useful life of the seal based on the information relating to wear of the optical fiber.
Abstract:
A system and method is provided for monitoring the operating condition of a pump by evaluating fault data encoded in the instantaneous current of the motor driving the pump. The data is converted to a frequency spectrum which is analyzed to create a fault signature having fault attributes relating to various fault conditions associated with the pump. The fault signature is then input to a neural network that operates in conjunction with a preprocessing and post processing module to perform decisions and output those decisions to a user interface. A stand alone module is also provided that includes an adaptive preprocessing module, a one-shot unsupervised neural network and a fuzzy based expert system to provide a decision making module that operates with limited human supervision.
Abstract:
Systems and methods are disclosed for controlling, diagnosing and prognosing the health of a motorized system. The systems may comprise a diagnostics system, a prognostic system and a controller, wherein the diagnostics system and/or prognostic system employs a neural network, an expert system, and/or a data fusion component in order to assess and/or prognose the health of the motorized system according to one or more attributes associated therewith. The controller may operate the motorized system in accordance with a setpoint and/or a diagnostics signal from the diagnostics system and/or prognostic information. Also disclosed are methodologies for controlling, diagnosing and prognosing the health of a motorized system, comprising operating a motor in the motorized system in a controlled fashion, diagnosing and/or prognosing the health of the motorized system according to a measured attribute associated with the motorized system, wherein the motor may be operated according to a setpoint and/or the diagnostics signal and/or prognosis.
Abstract:
A system for sensing vibration of a machine is provided. A light source directs a beam of light toward a light receiving system adapted to receive at least a portion of the beam of light. A light modulating system modulates the light beam received by the light receiving system so as to correspond to vibration of the machine. A processing system operatively coupled to the light receiving system processes data received from the light receiving system to facilitate determining vibration of the machine.
Abstract:
A system for determining at least one condition of a seal including an optical fiber for transmitting light from a light source. The optical fiber is embedded in the seal and operatively coupled to an interferometric system. The interferometric system is operatively coupled to a processor. The interferometric system provides the processor with information relating to wear of the optical fiber, and the processor determines wear of the seal, rate of wear and remaining useful life of the seal based on the information relating to wear of the optical fiber.
Abstract:
A system and methodology is provided for dynamically adjusting fluids that operate as a lubricant in a machine. The system includes a control module having a processor and one or more sensors providing data to the processor in situ with the machine, wherein the processor employs the data to monitor the fluid. One or more inputs are provided to receive a plurality of additives that are associated with the fluid, wherein actuators are employed by the processor to dispense the additives to the fluid. The processor dispenses the fluid based upon one or more parameters of the fluid.
Abstract:
A pump control system and a controller therefor are disclosed which operate a motorized pump in a controlled fashion. The controller provides a control signal to a motor drive according to a setpoint or according to a cavitation signal from a cavitation detection component in the controller. If the cavitation detection component determines that pump cavitation is likely or suspected, the controller may operate the pump motor according to the cavitation signal, in order to reduce or eliminate the cavitation condition, before resuming normal control according to the setpoint.
Abstract:
A parasitically powered remote sensing device for monitoring an industrial system. The device comprising a tuned transducer which converts stray energy emitted by the system into an electric potential for consumption by a remote sensing device and/or a wireless communications link. In an alternate embodiment the remote sensing device further comprises an energy storage element connected to the transducer to provide the sensing element and wireless communications link with the electric potential when the stray energy is insufficient to power the remote sensing device.
Abstract:
A multi-element fluid sensor system having a distributed sensor configuration for determining the health state of a fluid. The sensor system includes at least two sensors for collecting data relating to a particular parameter (e.g., pH, temperature, electrical conductivity, chemistry, viscosity) of the fluid. The at least two sensors may be integrated onto a semiconductor base so as to provide for a micro sensor for in situ monitoring of the fluid. The system also includes a data fusion processor operatively coupled to the at least two sensors. The data fusion processor processes the fluid data to at least compensate for information fragmentation attributed to using the at least two sensors. The data fusion processor may condense the data, combine the data, evaluate the data and interpret the data.