Abstract:
A system and method for detecting incipient mechanical motor faults by way of current noise cancellation is disclosed. The system includes.a controller configured to detect indicia of incipient mechanical motor faults. The controller further includes a processor programmed to receive a baseline set of current data from an operating motor and define a noise component in the baseline set of current data. The processor is also programmed to acquire at least on additional set of real-time operating current data from the motor during operation, redefine the noise component present in each additional set of real-time operating current data, and remove the noise component from the operating current data in real-time to isolate any fault components present in the operating current data. The processor is then programmed to generate a fault index for the operating current data based on any isolated fault components.
Abstract:
A microgrid power generation system (80) includes a plurality of generators (200,202) having a plurality of different rated capacities and a plurality of distribution nodes (210,212,214), at least some of the distribution nodes being powered by the generators. A grid (208) is formed by the distribution nodes, the grid includes a system frequency (302). A plurality of loads (216,218,220) are powered by the grid through the distribution nodes, the loads have a power demand. A processor (230;216;218;220) includes a plurality of efficiency bands (88,92), each of the efficiency bands being for a corresponding one of the generators and including a plurality of generator switching points based upon droop of the system frequency and the power demand of the loads. The processor is structured to operate the generators and the loads under transient conditions based upon the efficiency bands.
Abstract:
A system and method for detenriining rotor speed of an AC induction machine is disclosed. The system is programmed to estimate a rotor speed of the induction machine according to a linear speed estimation algorithm and based on name plate information (NPI) of the induction machine and parameters of the AC induction machine during operation thereof. The rotor speed estimation system is also programmed to estimate a rotor speed of the AC induction machine according to a frequency-domain signal processing algorithm and determine if the rotor speed estimated thereby is valid. If the rotor speed estimated by the frequency-domain signal processing algorithm is valid, then a tuned rotor speed of the AC induction machine is estimated according to the linear speed estimation algorithm and based, in part, on the rotor speed estimated by the frequency-domain signal processing algorithm.
Abstract:
A system and method for determining rotor speed of an AC induction machine is disclosed. The system is programmed to estimate a rotor speed of the induction machine according to a linear speed estimation algorithm and based on name plate information (NPI) of the induction machine and parameters of the AC induction machine during operation thereof. The rotor speed estimation system is also programmed to estimate a rotor speed of the AC induction machine according to a frequency-domain signal processing algorithm and determine if the rotor speed estimated thereby is valid. If the rotor speed estimated by the frequency-domain signal processing algorithm is valid, then a tuned rotor speed of the AC induction machine is estimated according to the linear speed estimation algorithm and based, in part, on the rotor speed estimated by the frequency-domain signal processing algorithm.
Abstract:
A system and method for detecting cavitation in pumps for fixed and variable supply frequency applications is disclosed. The system includes a controller (14, 24) having a processor (26) programmed to repeatedly receive real-time operating current data (28) from a motor (22) driving a pump (12), generate a current frequency spectrum from the current data, and analyze current data within a pair of signature frequency bands of the current frequency spectrum. The processor is further programmed to repeatedly determine fault signatures as a function of the current data within the pair of signature frequency bands, repeatedly determine fault indices based on the fault signatures and a dynamic reference signature, compare the fault indices to a reference index, and identify a cavitation condition in a pump based on a comparison between the reference index and a current fault index.
Abstract:
A system (40) includes a first powered apparatus (42) having a first analog signal (16) with a fundamental frequency (on); and a second apparatus (44) providing load diagnostics or power quality assessment of the first apparatus (42) from a second digital signal (IF(n)). The second apparatus (44) includes an input (46) of the first analog signal, an output (48) of the second digital signal (IF(n)), a processor (22), an adaptive filter (50) executed by the processor, a digital-to-analog converter (20), and an analog-to-digital converter (10). The adaptive filter routine outputs a third digital signal (y(n)) as a function of the second digital signal (IF(n)) and plural adaptive weights (4,6). The digital-to-analog converter inputs the third digital signal (y(n)) and outputs a fourth analog signal (Iest(t)) representative of an estimate of a fundamental frequency component (Io(t)) of the first analog signal (16). The analog-to-digital converter inputs a difference (I(t) - Icest(t)) between the first and the fourth analog signals (Ioest(t)), and outputs the second digital signal (IF(n)) representative of the first analog signal with the fundamental frequency component removed. 24y(n) loest(t) + G2 10 3 xs (n) >+ DG { o ADC 8 4 28 20 14 30 8' 6 xc(n) wc(n)
Abstract:
A system and method for detecting cavitation in pumps for fixed and variable supply frequency applications is disclosed. The system includes a controller (14, 24) having a processor (26) programmed to repeatedly receive real-time operating current data (28) from a motor (22) driving a pump (12), generate a current frequency spectrum from the current data, and analyze current data within a pair of signature frequency bands of the current frequency spectrum. The processor is further programmed to repeatedly determine fault signatures as a function of the current data within the pair of signature frequency bands, repeatedly determine fault indices based on the fault signatures and a dynamic reference signature, compare the fault indices to a reference index, and identify a cavitation condition in a pump based on a comparison between the reference index and a current fault index.
Abstract:
A system includes a first powered apparatus having a first analog signal with a fundamental frequency; and a second apparatus providing load diagnostics or power quality assessment of the first apparatus from a second digital signal. The second apparatus includes an input of the first analog signal, an output of the second digital signal, a processor, an adaptive filter executed by the processor, a digital-to-analog converter, and an analog-to-digital converter. The adaptive filter routine outputs a third digital signal as a function of the second digital signal and plural adaptive weights. The digital-to-analog converter inputs the third digital signal and outputs a fourth analog signal representative of an estimate of a fundamental frequency component of the first analog signal. The analog-to-digital converter inputs a difference between the first and fourth analog signals, and outputs the second digital signal representative of the first analog signal with the fundamental frequency component removed.
Abstract:
A system and method for detecting cavitation in pumps for fixed and variable supply frequency applications is disclosed. The system includes a controller (14, 24) having a processor (26) programmed to repeatedly receive real-time operating current data (28) from a motor (22) driving a pump (12), generate a current frequency spectrum from the current data, and analyze current data within a pair of signature frequency bands of the current frequency spectrum. The processor is further programmed to repeatedly determine fault signatures as a function of the current data within the pair of signature frequency bands, repeatedly determine fault indices based on the fault signatures and a dynamic reference signature, compare the fault indices to a reference index, and identify a cavitation condition in a pump based on a comparison between the reference index and a current fault index.