The present application discloses a method of detecting abnormal movement of a physical object by periodic signal analysis. A periodic signal is representative of the movement of the object. According to some embodiments, a raw matrix having a first array and a second array is generated, and then an integrated matrix is generated by performing a dimension reduction on the raw matrix. A likelihood of a predetermined type of abnormal movement of the physical object is determined by comparing the integrated matrix with a predetermined benchmark pattern. In some embodiments, the generation of the raw matrix includes performing a first analysis on a predetermined portion of the periodic signal to generate the first array and performing a second analysis different from the first analysis on the predetermined portion of the periodic signal to generate the second array.本揭露一種檢測實體物件異常運作之方法。根據一些實施例,可利用能代表實體物件運作特性的週期信號,產生具有第一陣列及第二陣列的原始矩陣,並對原始矩陣進行維度縮減而產生整合性矩陣。藉由比較實體物件與各種已知異常運作類型的標準資料所產生之整合性矩陣、或是比對利用整合性矩陣所產生的各種指標,可判定該實體物件與各種異常運作類型間的概似度。在一些實施例中,原始矩陣的產生包括在週期信號的預定區間中執行第一分析以產生第一陣列,及在相同週期信號區間中執行不同於第一分析的第二分析以產生第二陣列。
