Condition Monitoring (CM) is the analysis of mechanical machinery or other equipment to determine whether faults are present or imminent, or to estimate maintenance requirements.
The field of CM has grown out of Non-Destructive Testing (NDT), particularly with the advent of lower-cost sensors and of the increased automatic processing and logging by modern computers. Though it is somewhat difficult to define the boundary between CM and NDT, the term CM is more likely to be applied where there is substantially fully automatic processing and/or continuous monitoring (either for the full life of the equipment or over an extensive test period). The terms Health Monitoring, Prognosis and Diagnostic Technology are also used within the CM field.
Over the last few years, Cambridge Algorithmica has been working on the application of its skills in statistical pattern matching to the field of Condition Monitoring (CM), including the Company's work on multi-feature data fusion and on the modelling of Probability Density Functions (PDFs). The Company's skills in Digital Signal Processing (DSP) are also highly relevant to CM.
Nigel Sedgwick is currently a co-opted technical specialist member of the Condition Monitoring Technical Committee (CMTC, also known as COMADIT) of the British Institute of Non-Destructive Testing (BINDT).