A COMPUTATIONALLY EFFICIENT METHOD FOR THE DIAGNOSIS OF DEFECTS IN ROLLING BEARINGS BASED ON LINEAR PREDICTIVE CODING

A Computationally Efficient Method for the Diagnosis of Defects in Rolling Bearings Based on Linear Predictive Coding

Monitoring the condition of rolling bearings is a crucial task in many industries.An efficient tool for diagnosing bearing defects is necessary since they can lead to complete machine failure and significant economic losses.Traditional diagnosis solutions often rely on a complex artificial feature extraction process that is time-consuming, computat

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Predictive factors of drainage volume and drain duration after the inframammary approach to nipple-areolar-complex sparing mastectomy and implant-based breast reconstruction

Background The placement of a closed suction drain is indispensable for preventing serious infections; however, closed suction drains are inevitably accompanied by increases in local infections, pain, and length of hospital stay, and delays in breast cancer treatment including postoperative chemotherapy and radiotherapy.We analyzed predictive facto

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