Flying spot results in a lot of protection malfunctions. Few researches are focusing on the flying spot. In practice, most abnormal samples detection algorithms are with ambiguous pertinence, insensitivity, ambiguous threshold and easy wrong ruling. Some detection algorithms only carry out simple latch-up protection, which decrease the malfunction rate while delay the protection action time. To solve these difficulties, a new sampling flying spot algorithm is proposed, which is based on removable discontinuous spot in continuous function. At the same time, a remedy algorithm based on predicting sine curve is proposed. The proposed algorithm can detect the flying spot effectively, and the remedy sampling algorithm can correct the flying spot without latch-up protection. The proposed algorithms can remove the malfunctions for flying spot. The simulation results show the proposed algorithms are effective.