Abnormality detecting device for construction machine

• US 8,997,472 B2
• Filed: 03/03/2010
• Issued: 04/07/2015
• Est. Priority Date: 03/24/2009
• Status: Active Grant

• Current Assignee: Hitachi Construction Machinery Company Limited (Hitachi, Ltd.)
• Original Assignee: Hitachi Construction Machinery Company Limited (Hitachi, Ltd.)
• Inventors: Suzuki, Hideaki, Furuno, Yoshinori, Nishihata, Jun
• Primary Examiner(s): Moulis, Thomas
• Assistant Examiner(s): DALLO, JOSEPH J
• Application Number:
  US13/201,875
• Publication Number:
  US 20120041663A1
• Time in Patent Office: 1,861 Days
• Field of Search: 706/15, 706/16, 706/19, 706/45, 703/2, 603/28, 603/99
• US Class Current: 60/328
• CPC Class Codes: E02F 9/26 Indicating devices E02F5/145 takes precedence
• CPC Class Codes: E02F 9/267 Diagnosing or detecting failure of vehicles
• CPC Class Codes: F04B 2201/1201 Rotational speed of the axis
• CPC Class Codes: F04B 2203/0209 Rotational speed
• CPC Class Codes: F04B 2205/03 Pressure in the compression chamber
• CPC Class Codes: F04B 2205/05 Pressure after the pump outlet
• CPC Class Codes: F04B 2205/11 Outlet temperature
• CPC Class Codes: F04B 2207/03 External temperature
• CPC Class Codes: F04B 49/065 and making use of computers
• CPC Class Codes: F04B 49/10 Other safety measures
• CPC Class Codes: G05B 23/024 Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks

Abstract

Provided is an abnormality detecting device for a construction machine that can estimate an abnormality occurring to a component (engine, pump, etc.) of the construction machine based on the relationship among a plurality of pieces of sensor information and thereby prevent machine failure. A correlation coefficient calculation unit 102 calculates correlation coefficients between time-series sensor values acquired by a plurality of sensors 101. A correlation coefficient comparison unit 103 compares the correlation coefficients and calculates the degree of difference between each correlation coefficient and other correlation coefficients. An abnormality judgment unit 104 judges that an abnormality has occurred to a part related to a sensor when the degree of difference calculated in regard to the sensor exceeds a preset value.

Claims

1. An abnormality detecting device for a construction machine equipped with a plurality of sensor means placed at a plurality of parts of the construction machine, the sensor means detecting a plurality of related physical states and outputting a plurality of pieces of sensor information, comprising:

correlation coefficient calculation means which receives the plurality of pieces of sensor information outputted from the plurality of sensor means, generates time-series physical state information in a predetermined period on each of the plurality of pieces of sensor information corresponding to the plurality of sensor means, and calculates a plurality of correlation coefficients between separated pieces of time-series physical state information on each of the plurality of pieces of sensor information;

correlation coefficient comparison means which compares the correlation coefficients calculated by the correlation coefficient calculation means and calculates the degree of difference of each correlation coefficient from other correlation coefficients; and

abnormality judgment means which judges that when the degree of difference calculated by the correlation coefficient comparison means exceeds a preset value, an abnormality has occurred to a part related to the corresponding sensor means,

wherein assuming that Xi and Xj (i,j=1, . . . , n) (n;

the number of the sensor means supplying the plurality of pieces of sensor information) represent two pieces of time-series physical state information arbitrarily selected from the time-series physical state information generated by the correlation coefficient calculation means, Xi(t) and Xj(t) represent the measurement values of Xi and Xj at time t and ρ

(i, j) represents the correlation coefficient between the input values Xi and Xj between time t=0 and time t=Δ

t(T−

1) (Δ

t;

the time between measurements, T;

the number of measurements), the correlation coefficien ρ

(i, j) is calculated using averages μ

i and μ

j and standard deviations σ

i and σ

j according to the following equation;

ρ

(i, j)=Σ

(Xi(t)−

μ

i)(Xj(t)−

μ

j)/(T·

σ

i·

σ

j) where

μ

i=Σ

Xi(t)/T, μ

j=Σ

Xj(t)/T

σ

i=(nΣ

Xi(t)²−

(Σ

Xi(t))²)/(T·

(T−

1))

σ

j=(nΣ

Xj(t)²−

(Σ

Xj(t))²)/(T·

(T−

1)).

2. The abnormality detecting device for a construction machine according to claim 1, wherein:

the plurality of sensor means are three or more sensor means detecting three or more identical physical states as the plurality of related physical states, and

the correlation coefficient calculation means receives three or more pieces of sensor information outputted from the three or more sensor means, generates three or more pieces of time-series physical state information in the same period and calculates the correlation coefficients from the three or more pieces of time-series physical state information.

3. The abnormality detecting device for a construction machine according to claim 1, wherein:

the plurality of sensor means are two or more sensor means detecting correlatively changing two or more physical states as the plurality of related physical states, and

the correlation coefficient calculation means receives two or more pieces of sensor information outputted from the two or more sensor means in each of three or more different periods, generates three or more pieces of time-series physical state information in the same periods for each sensor means and calculates the correlation coefficients from the three or more pieces of time-series physical state information regarding each sensor means.

4. The abnormality detecting device for a construction machine according to any one of claims 1-3, wherein the correlation coefficient comparison means determines a normalized deviation among the correlation coefficients in regard to each of the correlation coefficients calculated by the correlation coefficient calculation means and calculates the degree of difference based on the normalized deviation.

5. The abnormality detecting device for a construction machine according to any one of claims 1-3, wherein the correlation coefficient comparison means determines a normalized deviation among the correlation coefficients using an average and a standard deviation calculated from the correlation coefficients calculated by the correlation coefficient calculation means, determines a correlation comparative value as an abnormality information flag according to the absolute value of the normalized deviation, and calculates a value representing the degree of difference by totalizing the correlation comparative values.

6. The abnormality detecting device for a construction machine according to claim 1 or 2, wherein:

the construction machine is equipped with a plurality of hydraulic pumps, and

the plurality of sensor means include pressure sensors being placed at the hydraulic pumps, respectively, detecting pressures of the hydraulic pumps and outputting pressure information, and

when the degree of difference calculated by the correlation coefficient comparison means in regard to a correlation coefficient exceeds a preset value, the abnormality judgment means judges that an abnormality has occurred to a hydraulic pump related to a pressure sensor corresponding to the correlation coefficient.

7. The abnormality detecting device for a construction machine according to claim 6, further comprising:

operational information detecting means which detects operational information on the construction machine; and

hydraulic pump operation judgment means which judges operating status of each hydraulic pump based on the operational information,

wherein the correlation coefficient calculation means calculates the correlation coefficients using the pressure information on hydraulic pumps that are in operation only, based on result of the judgment by the operation judgment means.

8. The abnormality detecting device for a construction machine according to claim 1 or 2, wherein:

the construction machine is equipped with an engine having a plurality of cylinders, and

the plurality of sensor means include temperature sensors being placed at the engine'"'"'s cylinders, respectively, detecting temperatures of the cylinders and outputting temperature information,

when the degree of difference calculated by the correlation coefficient comparison means in regard to a temperature sensor exceeds a preset value, the abnormality judgment means judges that an abnormality has occurred to a cylinder related to the temperature sensor.

9. The abnormality detecting device for a construction machine according to claim 8, further comprising revolution speed detecting means which detects engine revolution speed of the engine,

wherein the correlation coefficient calculation means calculates the correlation coefficients using the temperature information acquired only when the engine revolution speed detected by the revolution speed detecting means is a predetermined value or more.

10. The abnormality detecting device for a construction machine according to claim 1 or 3, wherein:

the construction machine includes;

an engine;

a hydraulic pump which is driven by the engine, pumps hydraulic oil up from a tank and discharges the hydraulic oil;

a hydraulic actuator which is driven by the hydraulic oil discharged from the hydraulic pump and supplied via a control valve; and

a hydraulic oil cooling device which cools down the hydraulic oil being returned from the hydraulic actuator to the tank via the control valve, and the hydraulic oil cooling device includes;

a hydraulic oil cooler which is placed on a path returning the hydraulic oil to the tank and cools down the hydraulic oil; and

a cooling fan which cools down the hydraulic oil cooler, and the plurality of sensor means include;

a first temperature sensor which detects outside air temperature;

a second temperature sensor which detects temperature of the hydraulic oil in the tank;

a third temperature sensor which detects temperature of the hydraulic oil on the inlet side of the hydraulic oil cooler; and

a fourth temperature sensor which detects temperature of the hydraulic oil on the outlet side of the hydraulic oil cooler, and

when the degree of difference calculated by the correlation coefficient comparison means in regard to a temperature sensor exceeds a preset value, the abnormality judgment means judges that an abnormality has occurred to a part of the hydraulic oil cooling device related to the temperature sensor.

11. The abnormality detecting device for a construction machine according to claim 1 or 3, wherein:

the construction machine includes;

an engine;

an engine oil cooling system including an oil pump which is driven by the engine, pumps engine oil up from an oil pan, discharges the engine oil and circulates the engine oil in the engine, and an oil cooler which is placed on a path returning the engine oil after circulating in the engine to the oil pan and cools down the engine oil; and

a coolant cooling system including a water jacket which cools the oil cooler, a water pump which is driven by the engine and supplies coolant to the water jacket, a radiator which is placed on a path returning the coolant after passing through the water jacket to the water pump and cools down the coolant, and a cooling fan which is driven by the engine and cools down the radiator, and

the plurality of sensor means include;

a revolution speed sensor which detects engine revolution speed of the engine;

a first pressure sensor which detects pressure of the engine oil discharged from the oil pump; and

a second pressure sensor which detects pressure of the coolant discharged from the water pump, and

the correlation coefficient calculation means calculates correlation coefficients between each of engine revolution speed information outputted from the revolution speed sensor, first pressure information outputted from the first pressure sensor and second pressure information outputted from the second pressure sensor and other pieces of information, and

the correlation coefficient comparison means calculates the degrees of difference by comparing the correlation coefficients calculated by the correlation coefficient calculation means, and

when the degree of difference calculated by the correlation coefficient comparison means in regard to a sensor means exceeds a preset value, the abnormality judgment means judges that an abnormality has occurred to a component related to the sensor means.

12. The abnormality detecting device for a construction machine according to claim 1 or 3, wherein:

the construction machine includes;

an engine;

an engine oil cooling system including an oil pump which is driven by the engine, pumps engine oil up from an oil pan, discharges the engine oil and circulates the engine oil in the engine, and an oil cooler which is placed on a path returning the engine oil after circulating in the engine to the oil pan and cools down the hydraulic oil; and

a coolant cooling system including a water jacket which cools the oil cooler, a water pump which is driven by the engine and supplies coolant to the water jacket, a radiator which is placed on a path returning the coolant after passing through the water jacket to the water pump and cools down the coolant, and a cooling fan which is driven by the engine and cools down the radiator, and

the plurality of sensor means include;

a first temperature sensor which detects temperature of the engine oil; and

a second temperature sensor which detects temperature of the coolant, and

when the degree of difference calculated by the correlation coefficient comparison means in regard to a temperature sensor exceeds a preset value, the abnormality judgment means judges that an abnormality has occurred to the engine oil cooling system or the coolant cooling system that is related to the temperature sensor.

13. The abnormality detecting device for a construction machine according to claim 1, wherein:

the abnormality detecting device comprises relative ratio calculation means which calculates relative ratios between separated pieces of time-series physical state information in regard to each piece of time-series physical state information regarding each piece of sensor information and relative ratio comparison means which compares the relative ratios calculated by the relative ratio calculation means and calculates the degree of difference between each relative ratio and other relative ratios in place of the correlation coefficient calculation means and the correlation coefficient comparison means, and

when the degree of difference calculated by the correlation coefficient comparison means in regard to a sensor means exceeds a preset value, the abnormality judgment means judges that an abnormality has occurred to a part related to the sensor means.