Railway track condition monitoring system for detecting a partial or complete disruption of a rail of the railway track

1. A railway track condition monitoring system for detecting a partial or complete disruption of a rail of the railway track, comprising:

a plurality of sensors installed on a rail of the track and spaced by a predetermined distance from each other, the sensors having respective signal acquisition and recording means for the acquisition and recording of an acoustic signal being generated by an approaching train and propagated by the rail or by a ground carrying the rail;

a signal transfer means for the transfer of an acquired and recorded signal to the passing train by wireless transfer at the time of passing of the train in proximity to sensors;

a signal analyzing means for analysing transferred ones of the acquired and recorded signal on-board the passing train; and

means adapted to cross-correlate the signals from a first sensor (s n ) and an adjacent second sensor (s n+m ), where the first sensor and the second sensor are adjacent to one another on the same rail, and detect the partial or complete disruption of said rail of the railway track.

2. The rail condition monitoring system of claim 1 , wherein the installed sensors are adapted to be stimulated by an acoustic stimulation passively generated by the approaching train collecting the data.

3. The rail condition monitoring system of claim 1 , wherein the installed sensors comprise means for recording the signal for a given programmed time period upon the signal exceeding a predefined noise level.

4. The rail condition monitoring system of claim 1 , wherein the signal acquisition and recording means is adapted to identify a start of the signal and to record the start of the signal, and the signal analyzing means is adapted to analyse a recorded start of the signal to derive therefrom rail breakage information indicating a rail discontinuity.

5. The rail condition monitoring system according to claim 1 , further comprising:

means adapted to distinguish cross-correlation coefficients obtained into

a) “exact” correlation for Corr. value=1,

b) “strong” correlation for Corr. value>0.8,

c) “medium” correlation for Corr. value=0.5-0.8,

d) “weak” correlation for Corr. value<0.5, and

e) “no” correlation for Corr. value=0; and

means responsive to said distinguished cross-correlation coefficients and adapted so to not send an alert message in response to “exact” or “strong” correlation, to perform double-check with neighboring sensors before an alert message is sent in response to “medium” correlation, and to send an alert message in response to “weak” or “no” correlation.

6. The rail condition monitoring system of claim 2 , wherein the installed sensors comprise means for recording the signal for a given programmed time period upon the signal exceeding predefined noise level.

7. The rail condition monitoring system of claim 2 , wherein signal acquisition and recording means is adapted to identify a start of the signal and to record the start of the signal, and the signal analyzing means is adapted to analyse a recorded start of the signal to derive therefrom rail breakage information indicating a rail discontinuity.

8. The rail condition monitoring system according to claim 2 , comprising:

means adapted to distinguish cross-correlation coefficients obtained into

a) “exact” correlation for Corr. value=1,

b) “strong” correlation for Corr. value>0.8,

c) “medium” correlation for Corr. value=0.5-0.8,

d) “weak” correlation for Corr. value<0.5, and

e) “no” correlation for Corr. value=0; and

means responsive to said distinguished cross-correlation coefficients and adapted so to not send an alert message in response to “exact” or “strong” correlation, to perform double-check with neighboring sensors before an alert message is sent in response to “medium” correlation, and to send an alert message in response to “weak” or “no” correlation.

9. The rail condition monitoring system according to claim 3 , comprising:

means adapted to distinguish cross-correlation coefficients obtained into

a) “exact” correlation for Corr. value=1,

b) “strong” correlation for Corr. value>0.8,

c) “medium” correlation for Corr. value=0.5-0.8,

d) “weak” correlation for Corr. value<0.5, and

e) “no” correlation for Corr. value=0; and

means responsive to said distinguished cross-correlation coefficients and adapted so to not send an alert message in response to “exact” or “strong” correlation, to perform double-check with neighboring sensors before an alert message is sent in response to “medium” correlation, and to send an alert message in response to “weak” or “no” correlation.

10. The rail condition monitoring system according to claim 4 , comprising:

means adapted to distinguish cross-correlation coefficients obtained into

a) “exact” correlation for Corr. value=1,

b) “strong” correlation for Corr. value>0.8,

c) “medium” correlation for Corr. value=0.5-0.8,

d) “weak” correlation for Corr. value<0.5, and

e) “no” correlation for Corr. value=0; and

means responsive to said distinguished cross-correlation coefficients and adapted so to not send an alert message in response to “exact” or “strong” correlation, to perform double-check with neighboring sensors before an alert message is sent in response to “medium” correlation, and to send an alert message in response to “weak” or “no” correlation.