Frequency spectrum variation monitoring system

• US 4,303,979 A
• Filed: 04/17/1978
• Issued: 12/01/1981
• Est. Priority Date: 04/18/1977
• Status: Expired due to Term

• Current Assignee: Hitachi, Ltd.
• Original Assignee: Hitachi, Ltd.
• Inventors: Kato, Kanji, Tanisaka, Satoshi
• Primary Examiner(s): Smith, Jerry
• Application Number:
  US05/897,141
• Time in Patent Office: 1,324 Days
• Field of Search: 364/484, 364/485, 324/77 B, 324/77 E, 324/78 D, 324/78 F, 324/78 Z
• US Class Current: 702/76
• CPC Class Codes: G06F 17/141 Discrete Fourier transforms

Abstract

In a frequency spectrum variation monitoring system, the values of two parameters including the root mean square (RMS) value of each of the output signals from various detectors disposed at several locations in a nuclear power plant and the RMS value of the time-differentiated version of the detector output signal are calculated both at the normal state and at any time instant. These parameter values are used to obtain the RMS value of the deviation of the frequency spectrum of the detector output signal from the normal state and the average frequency weighted with that frequency spectrum deviation, so that the geometrical variation in frequency spectrum of the detector output signal may be monitored.

Claims

1. A frequency spectrum variation monitoring system comprising:

first means for producing a first analog signal in a specific frequency range in response to receipt of a plant input signal having a given frequency range;

second means for receivng said first analog signal to deliver a second analog signal which is the time-differentiated version of said first analog signal;

third means for converting said first and second analog signals into first and second digital signals respectively;

fourth means for calculating the root mean square value and average frequency of said first analog signal on the basis of said first and second digital signals;

fifth means for storing the calculated results of said fourth means;

sixth means for calculating the differences between each of the root mean square value and average frequency previously stored in said fifth means and each of the instantaneous root means square value and average frequency calculated by said fourth means so as to calculate the root mean square value and average frequency of an anomalous peak component in said plant input signal on the basis of the output signals produced by said fourth and fifth means when said differences exceed predetermined values; and

seventh means for indicating the calculated results of siad sixth means.

2. A frequency spectrum variation monitoring system according to claim 1, wherein said fourth means performs calculations defined by the following equations (1) and (2) and said sixth means performs calculations defined by the following equations (3) and (4):

##EQU6## where X(t) is the noise component of said plant input signal, T is the time over which the defined integration is performed, μ

is the root mean square value of the time-derivative of X(t), σ

_N and ν

_N are said normal-state root mean square value and average frequency of said first analog signal respectively, and σ

_A and ν

_A said instantaneous root mean square value and average frequency of said first analog signal respectively.

3. A frequency spectrum variation monitoring system according to claim 1, further comprising:

eighth means for dividing said specific frequency range into a plurality of continuous frequency subranges and selecting one of said these frequency subranges in which said average frequency of said anomalous peak component in said plant input signal calculated by said sixth means is contained;

ninth means for receiving from said plant input signal a third analog signal contained in the frequency subrange selected by said eighth means;

tenth means for receiving said third analog signal to deliver a fourth analog signal which is the time-differentiated version of said third analog signal;

eleventh means for calculating the root mean square value and average frequency of said third analog signal on basis of third and fourth digital signals obtained through the conversion of said third and fourth analog signals by said third means; and

twelfth means for calculating a parameter characteristic of the peaking degree on the basis of the normal-state root mean square value of said third analog signal at the normal state previously stored in said fifth means, said normal-state root means square value of said first analog signal, and the instantaneous root mean square value of said third analog signal at the time instant under consideration calculated by said eleventh means, the output of said twelfth means being supplied to said seventh means.

4. A freqeuncy spectrum variation monitoring system according to claim 3, wherein said twelfth means includes means for calculating a parameter characteristic of the frequency shift on the basis of said normal-state average frequency of said first analog signal stored in said fifth means of and the average frequency of said third analog signal calculated by said eleventh means.

5. A frequency spectrum variation monitoring system according to claim 3, wherein the output of said ninth means is connected to the input of said first means and said second means is used as said tenth means.

6. A frequency spectrum variation monitoring system according to claim 5, wherein said fourth, fifth, sixth, eighth, eleventh and twelfth means are constructed by a microcomputer.

7. A frequency spectrum variation monitoring system according to claim 3, wherein said fourth, fifth, sixth, eighth, eleventh and twelfth means are constructed by a microcomputer.