Abstract: A method of automated identification of specific sounds in a noise environment, comprising the steps of: a) continuously recording the noise environment, b) forming a spectral image of the sound recorded in a time/frequency coordinate system, c) analyzing time-sliding windows of the spectral image, d) selecting a family of filters, each of which defines a frequency band and an energy band, e) applying each of the filters to each of the sliding windows, and identifying connected components or formants, which are window fragments formed of neighboring points of close frequencies and powers, f) calculating descriptors of each formant, and g) calculating a distance between two formants by comparing the descriptors of the first formant with those of the second formant.

Abstract: A method for detecting anomalies in a digitized complex signal analyzed by a detection unit, including a machine learning and a diagnosis of the intensity and/or the rarity of an anomaly, the learning including the steps of: 1.1 selecting sequences of values of the signal; 1.2 transforming the signal to extract therefrom characteristics of a type easily extracted by a human eye; and 1.3 reducing number n of digital data by an automatic compression; the diagnosis including the steps of: 2.1 applying steps 1.1 to 1.3 to a polling window (Fk) likely to include an anomaly; 2.2 comparing the obtained vector with a reference defined according to the same transformation and compression structure.

Abstract: A method for monitoring a system based on a set of k performance indicators, Xj(t), each of which is defined at successive times t, j being an integer varying between 1 and k. This method includes, for each indicator Xj, the steps of performing an observation of a sequence of s values, s being an integer, of the indicator and reordering this sequence into a reference list ordered by increasing values; and determining the relative rank, REL[Xj(t)], in the reference list of any new value XJ(t) of the indicator, this relative rank being equal to the rank of the new value divided by number s. The present invention also provides the computation of scores based on these relative ranks. Essential indicators and merged scores are deduced from these scores.

Abstract: A method of content driven browsing in a database including a large number of documents, that can be broken up into elements, each element being described by a state or a value of a same technical characteristic, including the steps of: